step2_clean_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import & UDFs\n",
    "## Importing libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:26.371785Z",
     "start_time": "2021-07-24T20:03:26.080314Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "pd.set_option(\"display.max_columns\", None)\n",
    "import numpy as np\n",
    "\n",
    "import time\n",
    "import os\n",
    "\n",
    "import caffeine    \n",
    "\n",
    "from tqdm import tqdm\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "import seaborn as sns \n",
    "sns.set_theme(style=\"darkgrid\", palette=\"Set1\")\n",
    "\n",
    "import klib\n",
    "\n",
    "import plotly.graph_objects as go\n",
    "import plotly.express as px\n",
    "import plotly.figure_factory as ff\n",
    "from plotly.colors import n_colors\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import folium\n",
    "\n",
    "import re\n",
    "\n",
    "import chart_studio\n",
    "import chart_studio.plotly as py\n",
    "\n",
    "username = \"marclelamy\" \n",
    "api_key = \"bKX3HXMQHk2Yb2yxzvvh\" \n",
    "\n",
    "chart_studio.tools.set_credentials_file(username=username, api_key=api_key)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## UDFs\n",
    "### Missing DF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:26.376888Z",
     "start_time": "2021-07-24T20:03:26.373356Z"
    }
   },
   "outputs": [],
   "source": [
    "def missing(df):\n",
    "    \"\"\"Displays a table with missing value count and percentage. \n",
    "    Variables with no missing value are not shown.\"\"\"\n",
    "    \n",
    "    df_missing = df.isna().sum().to_frame()\n",
    "    df_missing.columns = [\"missing_val_count\"]\n",
    "        \n",
    "    df_missing[\"missing_val_percent\"] = round(df_missing.missing_val_count / len(df) * 100, 1)\n",
    "    df_missing = df_missing[df_missing[\"missing_val_count\"] != 0]\n",
    "    \n",
    "    try:\n",
    "        display(df_missing)\n",
    "    except NameError:\n",
    "        return df_missing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Say something\n",
    "\n",
    "I generally use it to know when a program that take multiple minutes to run is done or when I run the entire notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:26.383519Z",
     "start_time": "2021-07-24T20:03:26.377776Z"
    }
   },
   "outputs": [],
   "source": [
    "def say(string):\n",
    "    os.system(f\"say “{string}”\")\n",
    "    \n",
    "def namestr(obj):\n",
    "    return [name for name in globals() if globals()[name] is obj]\n",
    "\n",
    "def table (df, row_size=40):\n",
    "    for col in df.columns:\n",
    "        df[col] = df[col].apply(lambda x: x.replace(\" \", \"<br>\") if type(x) == str else x)\n",
    "    \n",
    "    table_data = [df.columns] + df.values.tolist()[:10]\n",
    "\n",
    "    \n",
    "    return ff.create_table(table_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-18T14:50:41.579627Z",
     "start_time": "2021-07-18T14:50:40.732134Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-23T23:10:13.604943Z",
     "start_time": "2021-06-23T23:10:13.601926Z"
    }
   },
   "source": [
    "\n",
    "\n",
    "\n",
    "## Import & merge CSVs \n",
    "\n",
    "Here I'm importing all the CSVs containing the scraped data. To scrape the data more rapidly, I did run four instanced of the script, that's why, four CSVs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:27.714924Z",
     "start_time": "2021-07-24T20:03:26.385845Z"
    }
   },
   "outputs": [],
   "source": [
    "df_games = pd.read_csv(f\"data/all_games.csv\")\n",
    "df_events = pd.read_csv(f\"data/all_events.csv\")\n",
    "df_players = pd.read_csv(f\"data/all_players.csv\")\n",
    "# df_stats = pd.read_csv(\"data/all_stats.csv\")\n",
    "\n",
    "# for df in [df_games, df_events, df_players]:\n",
    "    # print(f\"We have {df.shape[0]} {namestr(df_stats)[0]} with {df.shape[1]} columns of data.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gameweek_id</th>\n",
       "      <th>gameweek_compSeason_label</th>\n",
       "      <th>gameweek_compSeason_competition_abbreviation</th>\n",
       "      <th>gameweek_compSeason_competition_description</th>\n",
       "      <th>gameweek_compSeason_competition_level</th>\n",
       "      <th>gameweek_compSeason_competition_source</th>\n",
       "      <th>gameweek_compSeason_competition_id</th>\n",
       "      <th>gameweek_compSeason_competition_altIds_opta</th>\n",
       "      <th>gameweek_compSeason_id</th>\n",
       "      <th>gameweek_gameweek</th>\n",
       "      <th>gameweek_competitionPhase_id</th>\n",
       "      <th>gameweek_competitionPhase_type</th>\n",
       "      <th>gameweek_competitionPhase_gameweekRange_0</th>\n",
       "      <th>gameweek_competitionPhase_gameweekRange_1</th>\n",
       "      <th>kickoff_completeness</th>\n",
       "      <th>kickoff_millis</th>\n",
       "      <th>kickoff_label</th>\n",
       "      <th>kickoff_gmtOffset</th>\n",
       "      <th>provisionalKickoff_completeness</th>\n",
       "      <th>provisionalKickoff_millis</th>\n",
       "      <th>provisionalKickoff_label</th>\n",
       "      <th>provisionalKickoff_gmtOffset</th>\n",
       "      <th>teams_0_team_name</th>\n",
       "      <th>teams_0_team_club_name</th>\n",
       "      <th>teams_0_team_club_shortName</th>\n",
       "      <th>teams_0_team_club_abbr</th>\n",
       "      <th>teams_0_team_club_id</th>\n",
       "      <th>teams_0_team_teamType</th>\n",
       "      <th>teams_0_team_shortName</th>\n",
       "      <th>teams_0_team_id</th>\n",
       "      <th>teams_0_team_altIds_opta</th>\n",
       "      <th>teams_0_score</th>\n",
       "      <th>teams_1_team_name</th>\n",
       "      <th>teams_1_team_club_name</th>\n",
       "      <th>teams_1_team_club_shortName</th>\n",
       "      <th>teams_1_team_club_abbr</th>\n",
       "      <th>teams_1_team_club_id</th>\n",
       "      <th>teams_1_team_teamType</th>\n",
       "      <th>teams_1_team_shortName</th>\n",
       "      <th>teams_1_team_id</th>\n",
       "      <th>teams_1_team_altIds_opta</th>\n",
       "      <th>teams_1_score</th>\n",
       "      <th>replay</th>\n",
       "      <th>ground_name</th>\n",
       "      <th>ground_city</th>\n",
       "      <th>ground_source</th>\n",
       "      <th>ground_id</th>\n",
       "      <th>status</th>\n",
       "      <th>phase</th>\n",
       "      <th>outcome</th>\n",
       "      <th>attendance</th>\n",
       "      <th>clock_secs</th>\n",
       "      <th>clock_label</th>\n",
       "      <th>fixtureType</th>\n",
       "      <th>extraTime</th>\n",
       "      <th>shootout</th>\n",
       "      <th>matchOfficials_0_matchOfficialId</th>\n",
       "      <th>matchOfficials_0_role</th>\n",
       "      <th>matchOfficials_0_birth</th>\n",
       "      <th>matchOfficials_0_name_display</th>\n",
       "      <th>matchOfficials_0_name_first</th>\n",
       "      <th>matchOfficials_0_name_last</th>\n",
       "      <th>matchOfficials_0_id</th>\n",
       "      <th>matchOfficials_1_matchOfficialId</th>\n",
       "      <th>matchOfficials_1_role</th>\n",
       "      <th>matchOfficials_1_birth</th>\n",
       "      <th>matchOfficials_1_name_display</th>\n",
       "      <th>matchOfficials_1_name_first</th>\n",
       "      <th>matchOfficials_1_name_last</th>\n",
       "      <th>matchOfficials_1_id</th>\n",
       "      <th>matchOfficials_2_matchOfficialId</th>\n",
       "      <th>matchOfficials_2_role</th>\n",
       "      <th>matchOfficials_2_birth</th>\n",
       "      <th>matchOfficials_2_name_display</th>\n",
       "      <th>matchOfficials_2_name_first</th>\n",
       "      <th>matchOfficials_2_name_last</th>\n",
       "      <th>matchOfficials_2_id</th>\n",
       "      <th>matchOfficials_3_matchOfficialId</th>\n",
       "      <th>matchOfficials_3_role</th>\n",
       "      <th>matchOfficials_3_birth</th>\n",
       "      <th>matchOfficials_3_name_display</th>\n",
       "      <th>matchOfficials_3_name_first</th>\n",
       "      <th>matchOfficials_3_name_last</th>\n",
       "      <th>matchOfficials_3_id</th>\n",
       "      <th>halfTimeScore_homeScore</th>\n",
       "      <th>halfTimeScore_awayScore</th>\n",
       "      <th>teamLists</th>\n",
       "      <th>events</th>\n",
       "      <th>penaltyShootouts</th>\n",
       "      <th>id</th>\n",
       "      <th>altIds_opta</th>\n",
       "      <th>metadata</th>\n",
       "      <th>match_id</th>\n",
       "      <th>neutralGround</th>\n",
       "      <th>behindClosedDoors</th>\n",
       "      <th>matchOfficials_4_matchOfficialId</th>\n",
       "      <th>matchOfficials_4_birth</th>\n",
       "      <th>matchOfficials_4_name_display</th>\n",
       "      <th>matchOfficials_4_name_first</th>\n",
       "      <th>matchOfficials_4_name_last</th>\n",
       "      <th>matchOfficials_4_id</th>\n",
       "      <th>matchOfficials_5_matchOfficialId</th>\n",
       "      <th>matchOfficials_5_birth</th>\n",
       "      <th>matchOfficials_5_name_display</th>\n",
       "      <th>matchOfficials_5_name_first</th>\n",
       "      <th>matchOfficials_5_name_last</th>\n",
       "      <th>matchOfficials_5_id</th>\n",
       "      <th>matchOfficials_4_role</th>\n",
       "      <th>matchOfficials_5_role</th>\n",
       "      <th>matchOfficials_6_matchOfficialId</th>\n",
       "      <th>matchOfficials_6_role</th>\n",
       "      <th>matchOfficials_6_birth</th>\n",
       "      <th>matchOfficials_6_name_display</th>\n",
       "      <th>matchOfficials_6_name_first</th>\n",
       "      <th>matchOfficials_6_name_last</th>\n",
       "      <th>matchOfficials_6_id</th>\n",
       "      <th>matchOfficials_7_matchOfficialId</th>\n",
       "      <th>matchOfficials_7_role</th>\n",
       "      <th>matchOfficials_7_birth</th>\n",
       "      <th>matchOfficials_7_name_display</th>\n",
       "      <th>matchOfficials_7_name_first</th>\n",
       "      <th>matchOfficials_7_name_last</th>\n",
       "      <th>matchOfficials_7_id</th>\n",
       "      <th>matchOfficials_8_matchOfficialId</th>\n",
       "      <th>matchOfficials_8_role</th>\n",
       "      <th>matchOfficials_8_birth</th>\n",
       "      <th>matchOfficials_8_name_display</th>\n",
       "      <th>matchOfficials_8_name_first</th>\n",
       "      <th>matchOfficials_8_name_last</th>\n",
       "      <th>matchOfficials_8_id</th>\n",
       "      <th>matchOfficials_9_matchOfficialId</th>\n",
       "      <th>matchOfficials_9_role</th>\n",
       "      <th>matchOfficials_9_birth</th>\n",
       "      <th>matchOfficials_9_name_display</th>\n",
       "      <th>matchOfficials_9_name_first</th>\n",
       "      <th>matchOfficials_9_name_last</th>\n",
       "      <th>matchOfficials_9_id</th>\n",
       "      <th>matchOfficials_10_matchOfficialId</th>\n",
       "      <th>matchOfficials_10_role</th>\n",
       "      <th>matchOfficials_10_birth</th>\n",
       "      <th>matchOfficials_10_name_display</th>\n",
       "      <th>matchOfficials_10_name_first</th>\n",
       "      <th>matchOfficials_10_name_last</th>\n",
       "      <th>matchOfficials_10_id</th>\n",
       "      <th>matchOfficials_11_matchOfficialId</th>\n",
       "      <th>matchOfficials_11_role</th>\n",
       "      <th>matchOfficials_11_birth</th>\n",
       "      <th>matchOfficials_11_name_display</th>\n",
       "      <th>matchOfficials_11_name_first</th>\n",
       "      <th>matchOfficials_11_name_last</th>\n",
       "      <th>matchOfficials_11_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>862</td>\n",
       "      <td>2013/14</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>57</td>\n",
       "      <td>L</td>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "      <td>3</td>\n",
       "      <td>1377352800000</td>\n",
       "      <td>Sat 24 Aug 2013, 15:00 BST</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.377353e+12</td>\n",
       "      <td>Sat 24 Aug 2013, 15:00 BST</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Hull City</td>\n",
       "      <td>Hull City</td>\n",
       "      <td>Hull</td>\n",
       "      <td>HUL</td>\n",
       "      <td>41</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Hull</td>\n",
       "      <td>41</td>\n",
       "      <td>t88</td>\n",
       "      <td>1</td>\n",
       "      <td>Norwich City</td>\n",
       "      <td>Norwich City</td>\n",
       "      <td>Norwich</td>\n",
       "      <td>NOR</td>\n",
       "      <td>14</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Norwich</td>\n",
       "      <td>14</td>\n",
       "      <td>t45</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>KCOM Stadium</td>\n",
       "      <td>Hull</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>37</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>H</td>\n",
       "      <td>23682.0</td>\n",
       "      <td>5820</td>\n",
       "      <td>90 +7'00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8639</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Mike Jones</td>\n",
       "      <td>Mike</td>\n",
       "      <td>Jones</td>\n",
       "      <td>16922</td>\n",
       "      <td>8640.0</td>\n",
       "      <td>LINESMAN_1</td>\n",
       "      <td>{}</td>\n",
       "      <td>Jake Collin</td>\n",
       "      <td>Jake</td>\n",
       "      <td>Collin</td>\n",
       "      <td>16994.0</td>\n",
       "      <td>8641.0</td>\n",
       "      <td>LINESMAN_2</td>\n",
       "      <td>{}</td>\n",
       "      <td>Mark Scholes</td>\n",
       "      <td>Mark</td>\n",
       "      <td>Scholes</td>\n",
       "      <td>16982.0</td>\n",
       "      <td>8642.0</td>\n",
       "      <td>FOURTH_OFFICIAL</td>\n",
       "      <td>{}</td>\n",
       "      <td>Michael Naylor</td>\n",
       "      <td>Michael</td>\n",
       "      <td>Naylor</td>\n",
       "      <td>17017.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>9245</td>\n",
       "      <td>g694915</td>\n",
       "      <td>{}</td>\n",
       "      <td>9245</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>612</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "      <td>L</td>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>3</td>\n",
       "      <td>1201359600000</td>\n",
       "      <td>Sat 26 Jan 2008, 15:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1.201360e+12</td>\n",
       "      <td>Sat 26 Jan 2008, 15:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>AVL</td>\n",
       "      <td>2</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2</td>\n",
       "      <td>t7</td>\n",
       "      <td>1</td>\n",
       "      <td>Blackburn Rovers</td>\n",
       "      <td>Blackburn Rovers</td>\n",
       "      <td>Blackburn</td>\n",
       "      <td>BLB</td>\n",
       "      <td>3</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Blackburn</td>\n",
       "      <td>3</td>\n",
       "      <td>t5</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>Villa Park</td>\n",
       "      <td>Birmingham</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>7</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5700</td>\n",
       "      <td>90 +5'00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>6194</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Howard Webb</td>\n",
       "      <td>Howard</td>\n",
       "      <td>Webb</td>\n",
       "      <td>16947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>6176</td>\n",
       "      <td>g128672</td>\n",
       "      <td>{}</td>\n",
       "      <td>6176</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>140</td>\n",
       "      <td>1995/96</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "      <td>L</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>822240000000</td>\n",
       "      <td>Sun 21 Jan 1996, 16:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>AVL</td>\n",
       "      <td>2</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2</td>\n",
       "      <td>t7</td>\n",
       "      <td>2</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>Spurs</td>\n",
       "      <td>TOT</td>\n",
       "      <td>21</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Spurs</td>\n",
       "      <td>21</td>\n",
       "      <td>t6</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>Villa Park</td>\n",
       "      <td>Birmingham</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>7</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>H</td>\n",
       "      <td>35666.0</td>\n",
       "      <td>5400</td>\n",
       "      <td>90'00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1525</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Graham Poll</td>\n",
       "      <td>Graham</td>\n",
       "      <td>Poll</td>\n",
       "      <td>16916</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>1619</td>\n",
       "      <td>g13889</td>\n",
       "      <td>{}</td>\n",
       "      <td>1619</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>723</td>\n",
       "      <td>2010/11</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>L</td>\n",
       "      <td>1</td>\n",
       "      <td>38</td>\n",
       "      <td>3</td>\n",
       "      <td>1293548400000</td>\n",
       "      <td>Tue 28 Dec 2010, 15:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>Man City</td>\n",
       "      <td>MCI</td>\n",
       "      <td>11</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Man City</td>\n",
       "      <td>11</td>\n",
       "      <td>t43</td>\n",
       "      <td>4</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>AVL</td>\n",
       "      <td>2</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2</td>\n",
       "      <td>t7</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>Etihad Stadium</td>\n",
       "      <td>Manchester</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>18</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>H</td>\n",
       "      <td>46716.0</td>\n",
       "      <td>5640</td>\n",
       "      <td>90 +4'00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>7200</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Michael Oliver</td>\n",
       "      <td>Michael</td>\n",
       "      <td>Oliver</td>\n",
       "      <td>16963</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>7268</td>\n",
       "      <td>g321850</td>\n",
       "      <td>{}</td>\n",
       "      <td>7268</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>465</td>\n",
       "      <td>2003/04</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "      <td>L</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1081191600000</td>\n",
       "      <td>Mon 5 Apr 2004, 20:00 BST</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Leeds United</td>\n",
       "      <td>Leeds United</td>\n",
       "      <td>Leeds</td>\n",
       "      <td>LEE</td>\n",
       "      <td>9</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Leeds</td>\n",
       "      <td>9</td>\n",
       "      <td>t2</td>\n",
       "      <td>3</td>\n",
       "      <td>Leicester City</td>\n",
       "      <td>Leicester City</td>\n",
       "      <td>Leicester</td>\n",
       "      <td>LEI</td>\n",
       "      <td>26</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Leicester</td>\n",
       "      <td>26</td>\n",
       "      <td>t13</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>Elland Road</td>\n",
       "      <td>Leeds</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>205</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>H</td>\n",
       "      <td>34036.0</td>\n",
       "      <td>5640</td>\n",
       "      <td>90 +4'00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4784</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Mike Dean</td>\n",
       "      <td>Mike</td>\n",
       "      <td>Dean</td>\n",
       "      <td>16941</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>4761</td>\n",
       "      <td>g3730</td>\n",
       "      <td>{}</td>\n",
       "      <td>4761</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11261</th>\n",
       "      <td>290</td>\n",
       "      <td>1999/00</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>L</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>940687200000</td>\n",
       "      <td>Sat 23 Oct 1999, 15:00 BST</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>SOU</td>\n",
       "      <td>20</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>20</td>\n",
       "      <td>t20</td>\n",
       "      <td>1</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>LIV</td>\n",
       "      <td>10</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>10</td>\n",
       "      <td>t14</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>The Dell</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>304</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>D</td>\n",
       "      <td>15241.0</td>\n",
       "      <td>5400</td>\n",
       "      <td>90'00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2939</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Neale Barry</td>\n",
       "      <td>Neale</td>\n",
       "      <td>Barry</td>\n",
       "      <td>16930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>3017</td>\n",
       "      <td>g16715</td>\n",
       "      <td>{}</td>\n",
       "      <td>3017</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11262</th>\n",
       "      <td>811</td>\n",
       "      <td>2012/13</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>28</td>\n",
       "      <td>22</td>\n",
       "      <td>L</td>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>3</td>\n",
       "      <td>1362326400000</td>\n",
       "      <td>Sun 3 Mar 2013, 16:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1.362326e+12</td>\n",
       "      <td>Sun 3 Mar 2013, 16:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>Spurs</td>\n",
       "      <td>TOT</td>\n",
       "      <td>21</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Spurs</td>\n",
       "      <td>21</td>\n",
       "      <td>t6</td>\n",
       "      <td>2</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>ARS</td>\n",
       "      <td>1</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>1</td>\n",
       "      <td>t3</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>White Hart Lane</td>\n",
       "      <td>London</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>6</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>H</td>\n",
       "      <td>36170.0</td>\n",
       "      <td>5820</td>\n",
       "      <td>90 +7'00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>7974</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Mark Clattenburg</td>\n",
       "      <td>Mark</td>\n",
       "      <td>Clattenburg</td>\n",
       "      <td>16949</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>8142</td>\n",
       "      <td>g442277</td>\n",
       "      <td>{}</td>\n",
       "      <td>8142</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11263</th>\n",
       "      <td>723</td>\n",
       "      <td>2010/11</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>L</td>\n",
       "      <td>1</td>\n",
       "      <td>38</td>\n",
       "      <td>3</td>\n",
       "      <td>1293548400000</td>\n",
       "      <td>Tue 28 Dec 2010, 15:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>Spurs</td>\n",
       "      <td>TOT</td>\n",
       "      <td>21</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Spurs</td>\n",
       "      <td>21</td>\n",
       "      <td>t6</td>\n",
       "      <td>2</td>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>Newcastle United</td>\n",
       "      <td>Newcastle</td>\n",
       "      <td>NEW</td>\n",
       "      <td>23</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Newcastle</td>\n",
       "      <td>23</td>\n",
       "      <td>t4</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>White Hart Lane</td>\n",
       "      <td>London</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>6</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>H</td>\n",
       "      <td>35927.0</td>\n",
       "      <td>5700</td>\n",
       "      <td>90 +5'00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>7205</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Anthony Taylor</td>\n",
       "      <td>Anthony</td>\n",
       "      <td>Taylor</td>\n",
       "      <td>16961</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>7271</td>\n",
       "      <td>g321853</td>\n",
       "      <td>{}</td>\n",
       "      <td>7271</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11264</th>\n",
       "      <td>138</td>\n",
       "      <td>1995/96</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "      <td>L</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>820612800000</td>\n",
       "      <td>Tue 2 Jan 1996, 20:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Queens Park Rangers</td>\n",
       "      <td>Queens Park Rangers</td>\n",
       "      <td>QPR</td>\n",
       "      <td>QPR</td>\n",
       "      <td>17</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>QPR</td>\n",
       "      <td>17</td>\n",
       "      <td>t52</td>\n",
       "      <td>1</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>CHE</td>\n",
       "      <td>4</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>4</td>\n",
       "      <td>t8</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>Loftus Road</td>\n",
       "      <td>London</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>23</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>A</td>\n",
       "      <td>14904.0</td>\n",
       "      <td>5400</td>\n",
       "      <td>90'00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1637</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>David Elleray</td>\n",
       "      <td>David</td>\n",
       "      <td>Elleray</td>\n",
       "      <td>16870</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>1600</td>\n",
       "      <td>g14981</td>\n",
       "      <td>{}</td>\n",
       "      <td>1600</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11265</th>\n",
       "      <td>1145</td>\n",
       "      <td>2015/16</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>42</td>\n",
       "      <td>15</td>\n",
       "      <td>106</td>\n",
       "      <td>L</td>\n",
       "      <td>1</td>\n",
       "      <td>38</td>\n",
       "      <td>3</td>\n",
       "      <td>1449518400000</td>\n",
       "      <td>Mon 7 Dec 2015, 20:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1.449518e+12</td>\n",
       "      <td>Mon 7 Dec 2015, 20:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Everton</td>\n",
       "      <td>Everton</td>\n",
       "      <td>Everton</td>\n",
       "      <td>EVE</td>\n",
       "      <td>7</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Everton</td>\n",
       "      <td>7</td>\n",
       "      <td>t11</td>\n",
       "      <td>1</td>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>CRY</td>\n",
       "      <td>6</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Crystal Palace</td>\n",
       "      <td>6</td>\n",
       "      <td>t31</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>Goodison Park</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>31</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>D</td>\n",
       "      <td>35736.0</td>\n",
       "      <td>5640</td>\n",
       "      <td>90 +4'00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>14587</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Craig Pawson</td>\n",
       "      <td>Craig</td>\n",
       "      <td>Pawson</td>\n",
       "      <td>16967</td>\n",
       "      <td>14588.0</td>\n",
       "      <td>LINESMAN_1</td>\n",
       "      <td>{}</td>\n",
       "      <td>Mark Scholes</td>\n",
       "      <td>Mark</td>\n",
       "      <td>Scholes</td>\n",
       "      <td>16982.0</td>\n",
       "      <td>14589.0</td>\n",
       "      <td>LINESMAN_2</td>\n",
       "      <td>{}</td>\n",
       "      <td>Edward Smart</td>\n",
       "      <td>Edward</td>\n",
       "      <td>Smart</td>\n",
       "      <td>17032.0</td>\n",
       "      <td>14590.0</td>\n",
       "      <td>FOURTH_OFFICIAL</td>\n",
       "      <td>{}</td>\n",
       "      <td>Lee Mason</td>\n",
       "      <td>Lee</td>\n",
       "      <td>Mason</td>\n",
       "      <td>16954.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>12264</td>\n",
       "      <td>g803304</td>\n",
       "      <td>{}</td>\n",
       "      <td>12264</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11266 rows × 151 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       gameweek_id gameweek_compSeason_label  \\\n",
       "0              862                   2013/14   \n",
       "1              612                   2007/08   \n",
       "2              140                   1995/96   \n",
       "3              723                   2010/11   \n",
       "4              465                   2003/04   \n",
       "...            ...                       ...   \n",
       "11261          290                   1999/00   \n",
       "11262          811                   2012/13   \n",
       "11263          723                   2010/11   \n",
       "11264          138                   1995/96   \n",
       "11265         1145                   2015/16   \n",
       "\n",
       "      gameweek_compSeason_competition_abbreviation  \\\n",
       "0                                            EN_PR   \n",
       "1                                            EN_PR   \n",
       "2                                            EN_PR   \n",
       "3                                            EN_PR   \n",
       "4                                            EN_PR   \n",
       "...                                            ...   \n",
       "11261                                        EN_PR   \n",
       "11262                                        EN_PR   \n",
       "11263                                        EN_PR   \n",
       "11264                                        EN_PR   \n",
       "11265                                        EN_PR   \n",
       "\n",
       "      gameweek_compSeason_competition_description  \\\n",
       "0                                  Premier League   \n",
       "1                                  Premier League   \n",
       "2                                  Premier League   \n",
       "3                                  Premier League   \n",
       "4                                  Premier League   \n",
       "...                                           ...   \n",
       "11261                              Premier League   \n",
       "11262                              Premier League   \n",
       "11263                              Premier League   \n",
       "11264                              Premier League   \n",
       "11265                              Premier League   \n",
       "\n",
       "      gameweek_compSeason_competition_level  \\\n",
       "0                                       SEN   \n",
       "1                                       SEN   \n",
       "2                                       SEN   \n",
       "3                                       SEN   \n",
       "4                                       SEN   \n",
       "...                                     ...   \n",
       "11261                                   SEN   \n",
       "11262                                   SEN   \n",
       "11263                                   SEN   \n",
       "11264                                   SEN   \n",
       "11265                                   SEN   \n",
       "\n",
       "       gameweek_compSeason_competition_source  \\\n",
       "0                                         NaN   \n",
       "1                                         NaN   \n",
       "2                                         NaN   \n",
       "3                                         NaN   \n",
       "4                                         NaN   \n",
       "...                                       ...   \n",
       "11261                                     NaN   \n",
       "11262                                     NaN   \n",
       "11263                                     NaN   \n",
       "11264                                     NaN   \n",
       "11265                                     NaN   \n",
       "\n",
       "       gameweek_compSeason_competition_id  \\\n",
       "0                                       1   \n",
       "1                                       1   \n",
       "2                                       1   \n",
       "3                                       1   \n",
       "4                                       1   \n",
       "...                                   ...   \n",
       "11261                                   1   \n",
       "11262                                   1   \n",
       "11263                                   1   \n",
       "11264                                   1   \n",
       "11265                                   1   \n",
       "\n",
       "       gameweek_compSeason_competition_altIds_opta  gameweek_compSeason_id  \\\n",
       "0                                                8                      22   \n",
       "1                                                8                      16   \n",
       "2                                                8                       4   \n",
       "3                                                8                      19   \n",
       "4                                                8                      12   \n",
       "...                                            ...                     ...   \n",
       "11261                                            8                       8   \n",
       "11262                                            8                      21   \n",
       "11263                                            8                      19   \n",
       "11264                                            8                       4   \n",
       "11265                                            8                      42   \n",
       "\n",
       "       gameweek_gameweek  gameweek_competitionPhase_id  \\\n",
       "0                      2                            57   \n",
       "1                     23                            16   \n",
       "2                     21                             4   \n",
       "3                     18                            19   \n",
       "4                     30                            12   \n",
       "...                  ...                           ...   \n",
       "11261                 10                             8   \n",
       "11262                 28                            22   \n",
       "11263                 18                            19   \n",
       "11264                 19                             4   \n",
       "11265                 15                           106   \n",
       "\n",
       "      gameweek_competitionPhase_type  \\\n",
       "0                                  L   \n",
       "1                                  L   \n",
       "2                                  L   \n",
       "3                                  L   \n",
       "4                                  L   \n",
       "...                              ...   \n",
       "11261                              L   \n",
       "11262                              L   \n",
       "11263                              L   \n",
       "11264                              L   \n",
       "11265                              L   \n",
       "\n",
       "       gameweek_competitionPhase_gameweekRange_0  \\\n",
       "0                                              1   \n",
       "1                                              1   \n",
       "2                                              0   \n",
       "3                                              1   \n",
       "4                                              0   \n",
       "...                                          ...   \n",
       "11261                                          0   \n",
       "11262                                          1   \n",
       "11263                                          1   \n",
       "11264                                          0   \n",
       "11265                                          1   \n",
       "\n",
       "       gameweek_competitionPhase_gameweekRange_1  kickoff_completeness  \\\n",
       "0                                             40                     3   \n",
       "1                                             39                     3   \n",
       "2                                              0                     3   \n",
       "3                                             38                     3   \n",
       "4                                              0                     3   \n",
       "...                                          ...                   ...   \n",
       "11261                                          0                     3   \n",
       "11262                                         39                     3   \n",
       "11263                                         38                     3   \n",
       "11264                                          0                     3   \n",
       "11265                                         38                     3   \n",
       "\n",
       "       kickoff_millis               kickoff_label  kickoff_gmtOffset  \\\n",
       "0       1377352800000  Sat 24 Aug 2013, 15:00 BST                1.0   \n",
       "1       1201359600000  Sat 26 Jan 2008, 15:00 GMT                NaN   \n",
       "2        822240000000  Sun 21 Jan 1996, 16:00 GMT                NaN   \n",
       "3       1293548400000  Tue 28 Dec 2010, 15:00 GMT                NaN   \n",
       "4       1081191600000   Mon 5 Apr 2004, 20:00 BST                1.0   \n",
       "...               ...                         ...                ...   \n",
       "11261    940687200000  Sat 23 Oct 1999, 15:00 BST                1.0   \n",
       "11262   1362326400000   Sun 3 Mar 2013, 16:00 GMT                NaN   \n",
       "11263   1293548400000  Tue 28 Dec 2010, 15:00 GMT                NaN   \n",
       "11264    820612800000   Tue 2 Jan 1996, 20:00 GMT                NaN   \n",
       "11265   1449518400000   Mon 7 Dec 2015, 20:00 GMT                NaN   \n",
       "\n",
       "       provisionalKickoff_completeness  provisionalKickoff_millis  \\\n",
       "0                                    3               1.377353e+12   \n",
       "1                                    3               1.201360e+12   \n",
       "2                                    0                        NaN   \n",
       "3                                    0                        NaN   \n",
       "4                                    0                        NaN   \n",
       "...                                ...                        ...   \n",
       "11261                                0                        NaN   \n",
       "11262                                3               1.362326e+12   \n",
       "11263                                0                        NaN   \n",
       "11264                                0                        NaN   \n",
       "11265                                3               1.449518e+12   \n",
       "\n",
       "         provisionalKickoff_label  provisionalKickoff_gmtOffset  \\\n",
       "0      Sat 24 Aug 2013, 15:00 BST                           1.0   \n",
       "1      Sat 26 Jan 2008, 15:00 GMT                           NaN   \n",
       "2                             NaN                           NaN   \n",
       "3                             NaN                           NaN   \n",
       "4                             NaN                           NaN   \n",
       "...                           ...                           ...   \n",
       "11261                         NaN                           NaN   \n",
       "11262   Sun 3 Mar 2013, 16:00 GMT                           NaN   \n",
       "11263                         NaN                           NaN   \n",
       "11264                         NaN                           NaN   \n",
       "11265   Mon 7 Dec 2015, 20:00 GMT                           NaN   \n",
       "\n",
       "         teams_0_team_name teams_0_team_club_name teams_0_team_club_shortName  \\\n",
       "0                Hull City              Hull City                        Hull   \n",
       "1              Aston Villa            Aston Villa                 Aston Villa   \n",
       "2              Aston Villa            Aston Villa                 Aston Villa   \n",
       "3          Manchester City        Manchester City                    Man City   \n",
       "4             Leeds United           Leeds United                       Leeds   \n",
       "...                    ...                    ...                         ...   \n",
       "11261          Southampton            Southampton                 Southampton   \n",
       "11262    Tottenham Hotspur      Tottenham Hotspur                       Spurs   \n",
       "11263    Tottenham Hotspur      Tottenham Hotspur                       Spurs   \n",
       "11264  Queens Park Rangers    Queens Park Rangers                         QPR   \n",
       "11265              Everton                Everton                     Everton   \n",
       "\n",
       "      teams_0_team_club_abbr  teams_0_team_club_id teams_0_team_teamType  \\\n",
       "0                        HUL                    41                 FIRST   \n",
       "1                        AVL                     2                 FIRST   \n",
       "2                        AVL                     2                 FIRST   \n",
       "3                        MCI                    11                 FIRST   \n",
       "4                        LEE                     9                 FIRST   \n",
       "...                      ...                   ...                   ...   \n",
       "11261                    SOU                    20                 FIRST   \n",
       "11262                    TOT                    21                 FIRST   \n",
       "11263                    TOT                    21                 FIRST   \n",
       "11264                    QPR                    17                 FIRST   \n",
       "11265                    EVE                     7                 FIRST   \n",
       "\n",
       "      teams_0_team_shortName  teams_0_team_id teams_0_team_altIds_opta  \\\n",
       "0                       Hull               41                      t88   \n",
       "1                Aston Villa                2                       t7   \n",
       "2                Aston Villa                2                       t7   \n",
       "3                   Man City               11                      t43   \n",
       "4                      Leeds                9                       t2   \n",
       "...                      ...              ...                      ...   \n",
       "11261            Southampton               20                      t20   \n",
       "11262                  Spurs               21                       t6   \n",
       "11263                  Spurs               21                       t6   \n",
       "11264                    QPR               17                      t52   \n",
       "11265                Everton                7                      t11   \n",
       "\n",
       "       teams_0_score  teams_1_team_name teams_1_team_club_name  \\\n",
       "0                  1       Norwich City           Norwich City   \n",
       "1                  1   Blackburn Rovers       Blackburn Rovers   \n",
       "2                  2  Tottenham Hotspur      Tottenham Hotspur   \n",
       "3                  4        Aston Villa            Aston Villa   \n",
       "4                  3     Leicester City         Leicester City   \n",
       "...              ...                ...                    ...   \n",
       "11261              1          Liverpool              Liverpool   \n",
       "11262              2            Arsenal                Arsenal   \n",
       "11263              2   Newcastle United       Newcastle United   \n",
       "11264              1            Chelsea                Chelsea   \n",
       "11265              1     Crystal Palace         Crystal Palace   \n",
       "\n",
       "      teams_1_team_club_shortName teams_1_team_club_abbr  \\\n",
       "0                         Norwich                    NOR   \n",
       "1                       Blackburn                    BLB   \n",
       "2                           Spurs                    TOT   \n",
       "3                     Aston Villa                    AVL   \n",
       "4                       Leicester                    LEI   \n",
       "...                           ...                    ...   \n",
       "11261                   Liverpool                    LIV   \n",
       "11262                     Arsenal                    ARS   \n",
       "11263                   Newcastle                    NEW   \n",
       "11264                     Chelsea                    CHE   \n",
       "11265              Crystal Palace                    CRY   \n",
       "\n",
       "       teams_1_team_club_id teams_1_team_teamType teams_1_team_shortName  \\\n",
       "0                        14                 FIRST                Norwich   \n",
       "1                         3                 FIRST              Blackburn   \n",
       "2                        21                 FIRST                  Spurs   \n",
       "3                         2                 FIRST            Aston Villa   \n",
       "4                        26                 FIRST              Leicester   \n",
       "...                     ...                   ...                    ...   \n",
       "11261                    10                 FIRST              Liverpool   \n",
       "11262                     1                 FIRST                Arsenal   \n",
       "11263                    23                 FIRST              Newcastle   \n",
       "11264                     4                 FIRST                Chelsea   \n",
       "11265                     6                 FIRST         Crystal Palace   \n",
       "\n",
       "       teams_1_team_id teams_1_team_altIds_opta  teams_1_score  replay  \\\n",
       "0                   14                      t45              0   False   \n",
       "1                    3                       t5              1   False   \n",
       "2                   21                       t6              1   False   \n",
       "3                    2                       t7              0   False   \n",
       "4                   26                      t13              2   False   \n",
       "...                ...                      ...            ...     ...   \n",
       "11261               10                      t14              1   False   \n",
       "11262                1                       t3              1   False   \n",
       "11263               23                       t4              0   False   \n",
       "11264                4                       t8              2   False   \n",
       "11265                6                      t31              1   False   \n",
       "\n",
       "           ground_name  ground_city ground_source  ground_id status phase  \\\n",
       "0         KCOM Stadium         Hull          OPTA         37      C     F   \n",
       "1           Villa Park   Birmingham          OPTA          7      C     F   \n",
       "2           Villa Park   Birmingham          OPTA          7      C     F   \n",
       "3       Etihad Stadium   Manchester          OPTA         18      C     F   \n",
       "4          Elland Road        Leeds          OPTA        205      C     F   \n",
       "...                ...          ...           ...        ...    ...   ...   \n",
       "11261         The Dell  Southampton          OPTA        304      C     F   \n",
       "11262  White Hart Lane       London          OPTA          6      C     F   \n",
       "11263  White Hart Lane       London          OPTA          6      C     F   \n",
       "11264      Loftus Road       London          OPTA         23      C     F   \n",
       "11265    Goodison Park    Liverpool          OPTA         31      C     F   \n",
       "\n",
       "      outcome  attendance  clock_secs clock_label fixtureType extraTime  \\\n",
       "0           H     23682.0        5820    90 +7'00     REGULAR     False   \n",
       "1           D         NaN        5700    90 +5'00     REGULAR     False   \n",
       "2           H     35666.0        5400       90'00         NaN       NaN   \n",
       "3           H     46716.0        5640    90 +4'00     REGULAR     False   \n",
       "4           H     34036.0        5640    90 +4'00         NaN       NaN   \n",
       "...       ...         ...         ...         ...         ...       ...   \n",
       "11261       D     15241.0        5400       90'00         NaN       NaN   \n",
       "11262       H     36170.0        5820    90 +7'00     REGULAR     False   \n",
       "11263       H     35927.0        5700    90 +5'00     REGULAR     False   \n",
       "11264       A     14904.0        5400       90'00         NaN       NaN   \n",
       "11265       D     35736.0        5640    90 +4'00     REGULAR     False   \n",
       "\n",
       "      shootout  matchOfficials_0_matchOfficialId matchOfficials_0_role  \\\n",
       "0        False                              8639                  MAIN   \n",
       "1        False                              6194                  MAIN   \n",
       "2          NaN                              1525                  MAIN   \n",
       "3        False                              7200                  MAIN   \n",
       "4          NaN                              4784                  MAIN   \n",
       "...        ...                               ...                   ...   \n",
       "11261      NaN                              2939                  MAIN   \n",
       "11262    False                              7974                  MAIN   \n",
       "11263    False                              7205                  MAIN   \n",
       "11264      NaN                              1637                  MAIN   \n",
       "11265    False                             14587                  MAIN   \n",
       "\n",
       "      matchOfficials_0_birth matchOfficials_0_name_display  \\\n",
       "0                         {}                    Mike Jones   \n",
       "1                         {}                   Howard Webb   \n",
       "2                         {}                   Graham Poll   \n",
       "3                         {}                Michael Oliver   \n",
       "4                         {}                     Mike Dean   \n",
       "...                      ...                           ...   \n",
       "11261                     {}                   Neale Barry   \n",
       "11262                     {}              Mark Clattenburg   \n",
       "11263                     {}                Anthony Taylor   \n",
       "11264                     {}                 David Elleray   \n",
       "11265                     {}                  Craig Pawson   \n",
       "\n",
       "      matchOfficials_0_name_first matchOfficials_0_name_last  \\\n",
       "0                            Mike                      Jones   \n",
       "1                          Howard                       Webb   \n",
       "2                          Graham                       Poll   \n",
       "3                         Michael                     Oliver   \n",
       "4                            Mike                       Dean   \n",
       "...                           ...                        ...   \n",
       "11261                       Neale                      Barry   \n",
       "11262                        Mark                Clattenburg   \n",
       "11263                     Anthony                     Taylor   \n",
       "11264                       David                    Elleray   \n",
       "11265                       Craig                     Pawson   \n",
       "\n",
       "       matchOfficials_0_id  matchOfficials_1_matchOfficialId  \\\n",
       "0                    16922                            8640.0   \n",
       "1                    16947                               NaN   \n",
       "2                    16916                               NaN   \n",
       "3                    16963                               NaN   \n",
       "4                    16941                               NaN   \n",
       "...                    ...                               ...   \n",
       "11261                16930                               NaN   \n",
       "11262                16949                               NaN   \n",
       "11263                16961                               NaN   \n",
       "11264                16870                               NaN   \n",
       "11265                16967                           14588.0   \n",
       "\n",
       "      matchOfficials_1_role matchOfficials_1_birth  \\\n",
       "0                LINESMAN_1                     {}   \n",
       "1                       NaN                    NaN   \n",
       "2                       NaN                    NaN   \n",
       "3                       NaN                    NaN   \n",
       "4                       NaN                    NaN   \n",
       "...                     ...                    ...   \n",
       "11261                   NaN                    NaN   \n",
       "11262                   NaN                    NaN   \n",
       "11263                   NaN                    NaN   \n",
       "11264                   NaN                    NaN   \n",
       "11265            LINESMAN_1                     {}   \n",
       "\n",
       "      matchOfficials_1_name_display matchOfficials_1_name_first  \\\n",
       "0                       Jake Collin                        Jake   \n",
       "1                               NaN                         NaN   \n",
       "2                               NaN                         NaN   \n",
       "3                               NaN                         NaN   \n",
       "4                               NaN                         NaN   \n",
       "...                             ...                         ...   \n",
       "11261                           NaN                         NaN   \n",
       "11262                           NaN                         NaN   \n",
       "11263                           NaN                         NaN   \n",
       "11264                           NaN                         NaN   \n",
       "11265                  Mark Scholes                        Mark   \n",
       "\n",
       "      matchOfficials_1_name_last  matchOfficials_1_id  \\\n",
       "0                         Collin              16994.0   \n",
       "1                            NaN                  NaN   \n",
       "2                            NaN                  NaN   \n",
       "3                            NaN                  NaN   \n",
       "4                            NaN                  NaN   \n",
       "...                          ...                  ...   \n",
       "11261                        NaN                  NaN   \n",
       "11262                        NaN                  NaN   \n",
       "11263                        NaN                  NaN   \n",
       "11264                        NaN                  NaN   \n",
       "11265                    Scholes              16982.0   \n",
       "\n",
       "       matchOfficials_2_matchOfficialId matchOfficials_2_role  \\\n",
       "0                                8641.0            LINESMAN_2   \n",
       "1                                   NaN                   NaN   \n",
       "2                                   NaN                   NaN   \n",
       "3                                   NaN                   NaN   \n",
       "4                                   NaN                   NaN   \n",
       "...                                 ...                   ...   \n",
       "11261                               NaN                   NaN   \n",
       "11262                               NaN                   NaN   \n",
       "11263                               NaN                   NaN   \n",
       "11264                               NaN                   NaN   \n",
       "11265                           14589.0            LINESMAN_2   \n",
       "\n",
       "      matchOfficials_2_birth matchOfficials_2_name_display  \\\n",
       "0                         {}                  Mark Scholes   \n",
       "1                        NaN                           NaN   \n",
       "2                        NaN                           NaN   \n",
       "3                        NaN                           NaN   \n",
       "4                        NaN                           NaN   \n",
       "...                      ...                           ...   \n",
       "11261                    NaN                           NaN   \n",
       "11262                    NaN                           NaN   \n",
       "11263                    NaN                           NaN   \n",
       "11264                    NaN                           NaN   \n",
       "11265                     {}                  Edward Smart   \n",
       "\n",
       "      matchOfficials_2_name_first matchOfficials_2_name_last  \\\n",
       "0                            Mark                    Scholes   \n",
       "1                             NaN                        NaN   \n",
       "2                             NaN                        NaN   \n",
       "3                             NaN                        NaN   \n",
       "4                             NaN                        NaN   \n",
       "...                           ...                        ...   \n",
       "11261                         NaN                        NaN   \n",
       "11262                         NaN                        NaN   \n",
       "11263                         NaN                        NaN   \n",
       "11264                         NaN                        NaN   \n",
       "11265                      Edward                      Smart   \n",
       "\n",
       "       matchOfficials_2_id  matchOfficials_3_matchOfficialId  \\\n",
       "0                  16982.0                            8642.0   \n",
       "1                      NaN                               NaN   \n",
       "2                      NaN                               NaN   \n",
       "3                      NaN                               NaN   \n",
       "4                      NaN                               NaN   \n",
       "...                    ...                               ...   \n",
       "11261                  NaN                               NaN   \n",
       "11262                  NaN                               NaN   \n",
       "11263                  NaN                               NaN   \n",
       "11264                  NaN                               NaN   \n",
       "11265              17032.0                           14590.0   \n",
       "\n",
       "      matchOfficials_3_role matchOfficials_3_birth  \\\n",
       "0           FOURTH_OFFICIAL                     {}   \n",
       "1                       NaN                    NaN   \n",
       "2                       NaN                    NaN   \n",
       "3                       NaN                    NaN   \n",
       "4                       NaN                    NaN   \n",
       "...                     ...                    ...   \n",
       "11261                   NaN                    NaN   \n",
       "11262                   NaN                    NaN   \n",
       "11263                   NaN                    NaN   \n",
       "11264                   NaN                    NaN   \n",
       "11265       FOURTH_OFFICIAL                     {}   \n",
       "\n",
       "      matchOfficials_3_name_display matchOfficials_3_name_first  \\\n",
       "0                    Michael Naylor                     Michael   \n",
       "1                               NaN                         NaN   \n",
       "2                               NaN                         NaN   \n",
       "3                               NaN                         NaN   \n",
       "4                               NaN                         NaN   \n",
       "...                             ...                         ...   \n",
       "11261                           NaN                         NaN   \n",
       "11262                           NaN                         NaN   \n",
       "11263                           NaN                         NaN   \n",
       "11264                           NaN                         NaN   \n",
       "11265                     Lee Mason                         Lee   \n",
       "\n",
       "      matchOfficials_3_name_last  matchOfficials_3_id  \\\n",
       "0                         Naylor              17017.0   \n",
       "1                            NaN                  NaN   \n",
       "2                            NaN                  NaN   \n",
       "3                            NaN                  NaN   \n",
       "4                            NaN                  NaN   \n",
       "...                          ...                  ...   \n",
       "11261                        NaN                  NaN   \n",
       "11262                        NaN                  NaN   \n",
       "11263                        NaN                  NaN   \n",
       "11264                        NaN                  NaN   \n",
       "11265                      Mason              16954.0   \n",
       "\n",
       "       halfTimeScore_homeScore  halfTimeScore_awayScore  teamLists  events  \\\n",
       "0                            1                        0        NaN     NaN   \n",
       "1                            0                        0        NaN     NaN   \n",
       "2                            1                        1        NaN     NaN   \n",
       "3                            3                        0        NaN     NaN   \n",
       "4                            2                        0        NaN     NaN   \n",
       "...                        ...                      ...        ...     ...   \n",
       "11261                        1                        0        NaN     NaN   \n",
       "11262                        2                        0        NaN     NaN   \n",
       "11263                        0                        0        NaN     NaN   \n",
       "11264                        0                        0        NaN     NaN   \n",
       "11265                        0                        0        NaN     NaN   \n",
       "\n",
       "      penaltyShootouts     id altIds_opta metadata  match_id neutralGround  \\\n",
       "0                   []   9245     g694915       {}      9245           NaN   \n",
       "1                   []   6176     g128672       {}      6176           NaN   \n",
       "2                   []   1619      g13889       {}      1619         False   \n",
       "3                   []   7268     g321850       {}      7268         False   \n",
       "4                   []   4761       g3730       {}      4761         False   \n",
       "...                ...    ...         ...      ...       ...           ...   \n",
       "11261               []   3017      g16715       {}      3017         False   \n",
       "11262               []   8142     g442277       {}      8142           NaN   \n",
       "11263               []   7271     g321853       {}      7271         False   \n",
       "11264               []   1600      g14981       {}      1600         False   \n",
       "11265               []  12264     g803304       {}     12264           NaN   \n",
       "\n",
       "      behindClosedDoors  matchOfficials_4_matchOfficialId  \\\n",
       "0                   NaN                               NaN   \n",
       "1                   NaN                               NaN   \n",
       "2                   NaN                               NaN   \n",
       "3                   NaN                               NaN   \n",
       "4                   NaN                               NaN   \n",
       "...                 ...                               ...   \n",
       "11261               NaN                               NaN   \n",
       "11262               NaN                               NaN   \n",
       "11263               NaN                               NaN   \n",
       "11264               NaN                               NaN   \n",
       "11265               NaN                               NaN   \n",
       "\n",
       "      matchOfficials_4_birth matchOfficials_4_name_display  \\\n",
       "0                        NaN                           NaN   \n",
       "1                        NaN                           NaN   \n",
       "2                        NaN                           NaN   \n",
       "3                        NaN                           NaN   \n",
       "4                        NaN                           NaN   \n",
       "...                      ...                           ...   \n",
       "11261                    NaN                           NaN   \n",
       "11262                    NaN                           NaN   \n",
       "11263                    NaN                           NaN   \n",
       "11264                    NaN                           NaN   \n",
       "11265                    NaN                           NaN   \n",
       "\n",
       "      matchOfficials_4_name_first matchOfficials_4_name_last  \\\n",
       "0                             NaN                        NaN   \n",
       "1                             NaN                        NaN   \n",
       "2                             NaN                        NaN   \n",
       "3                             NaN                        NaN   \n",
       "4                             NaN                        NaN   \n",
       "...                           ...                        ...   \n",
       "11261                         NaN                        NaN   \n",
       "11262                         NaN                        NaN   \n",
       "11263                         NaN                        NaN   \n",
       "11264                         NaN                        NaN   \n",
       "11265                         NaN                        NaN   \n",
       "\n",
       "       matchOfficials_4_id  matchOfficials_5_matchOfficialId  \\\n",
       "0                      NaN                               NaN   \n",
       "1                      NaN                               NaN   \n",
       "2                      NaN                               NaN   \n",
       "3                      NaN                               NaN   \n",
       "4                      NaN                               NaN   \n",
       "...                    ...                               ...   \n",
       "11261                  NaN                               NaN   \n",
       "11262                  NaN                               NaN   \n",
       "11263                  NaN                               NaN   \n",
       "11264                  NaN                               NaN   \n",
       "11265                  NaN                               NaN   \n",
       "\n",
       "      matchOfficials_5_birth matchOfficials_5_name_display  \\\n",
       "0                        NaN                           NaN   \n",
       "1                        NaN                           NaN   \n",
       "2                        NaN                           NaN   \n",
       "3                        NaN                           NaN   \n",
       "4                        NaN                           NaN   \n",
       "...                      ...                           ...   \n",
       "11261                    NaN                           NaN   \n",
       "11262                    NaN                           NaN   \n",
       "11263                    NaN                           NaN   \n",
       "11264                    NaN                           NaN   \n",
       "11265                    NaN                           NaN   \n",
       "\n",
       "      matchOfficials_5_name_first matchOfficials_5_name_last  \\\n",
       "0                             NaN                        NaN   \n",
       "1                             NaN                        NaN   \n",
       "2                             NaN                        NaN   \n",
       "3                             NaN                        NaN   \n",
       "4                             NaN                        NaN   \n",
       "...                           ...                        ...   \n",
       "11261                         NaN                        NaN   \n",
       "11262                         NaN                        NaN   \n",
       "11263                         NaN                        NaN   \n",
       "11264                         NaN                        NaN   \n",
       "11265                         NaN                        NaN   \n",
       "\n",
       "       matchOfficials_5_id matchOfficials_4_role matchOfficials_5_role  \\\n",
       "0                      NaN                   NaN                   NaN   \n",
       "1                      NaN                   NaN                   NaN   \n",
       "2                      NaN                   NaN                   NaN   \n",
       "3                      NaN                   NaN                   NaN   \n",
       "4                      NaN                   NaN                   NaN   \n",
       "...                    ...                   ...                   ...   \n",
       "11261                  NaN                   NaN                   NaN   \n",
       "11262                  NaN                   NaN                   NaN   \n",
       "11263                  NaN                   NaN                   NaN   \n",
       "11264                  NaN                   NaN                   NaN   \n",
       "11265                  NaN                   NaN                   NaN   \n",
       "\n",
       "       matchOfficials_6_matchOfficialId matchOfficials_6_role  \\\n",
       "0                                   NaN                   NaN   \n",
       "1                                   NaN                   NaN   \n",
       "2                                   NaN                   NaN   \n",
       "3                                   NaN                   NaN   \n",
       "4                                   NaN                   NaN   \n",
       "...                                 ...                   ...   \n",
       "11261                               NaN                   NaN   \n",
       "11262                               NaN                   NaN   \n",
       "11263                               NaN                   NaN   \n",
       "11264                               NaN                   NaN   \n",
       "11265                               NaN                   NaN   \n",
       "\n",
       "      matchOfficials_6_birth matchOfficials_6_name_display  \\\n",
       "0                        NaN                           NaN   \n",
       "1                        NaN                           NaN   \n",
       "2                        NaN                           NaN   \n",
       "3                        NaN                           NaN   \n",
       "4                        NaN                           NaN   \n",
       "...                      ...                           ...   \n",
       "11261                    NaN                           NaN   \n",
       "11262                    NaN                           NaN   \n",
       "11263                    NaN                           NaN   \n",
       "11264                    NaN                           NaN   \n",
       "11265                    NaN                           NaN   \n",
       "\n",
       "      matchOfficials_6_name_first matchOfficials_6_name_last  \\\n",
       "0                             NaN                        NaN   \n",
       "1                             NaN                        NaN   \n",
       "2                             NaN                        NaN   \n",
       "3                             NaN                        NaN   \n",
       "4                             NaN                        NaN   \n",
       "...                           ...                        ...   \n",
       "11261                         NaN                        NaN   \n",
       "11262                         NaN                        NaN   \n",
       "11263                         NaN                        NaN   \n",
       "11264                         NaN                        NaN   \n",
       "11265                         NaN                        NaN   \n",
       "\n",
       "       matchOfficials_6_id  matchOfficials_7_matchOfficialId  \\\n",
       "0                      NaN                               NaN   \n",
       "1                      NaN                               NaN   \n",
       "2                      NaN                               NaN   \n",
       "3                      NaN                               NaN   \n",
       "4                      NaN                               NaN   \n",
       "...                    ...                               ...   \n",
       "11261                  NaN                               NaN   \n",
       "11262                  NaN                               NaN   \n",
       "11263                  NaN                               NaN   \n",
       "11264                  NaN                               NaN   \n",
       "11265                  NaN                               NaN   \n",
       "\n",
       "      matchOfficials_7_role matchOfficials_7_birth  \\\n",
       "0                       NaN                    NaN   \n",
       "1                       NaN                    NaN   \n",
       "2                       NaN                    NaN   \n",
       "3                       NaN                    NaN   \n",
       "4                       NaN                    NaN   \n",
       "...                     ...                    ...   \n",
       "11261                   NaN                    NaN   \n",
       "11262                   NaN                    NaN   \n",
       "11263                   NaN                    NaN   \n",
       "11264                   NaN                    NaN   \n",
       "11265                   NaN                    NaN   \n",
       "\n",
       "      matchOfficials_7_name_display matchOfficials_7_name_first  \\\n",
       "0                               NaN                         NaN   \n",
       "1                               NaN                         NaN   \n",
       "2                               NaN                         NaN   \n",
       "3                               NaN                         NaN   \n",
       "4                               NaN                         NaN   \n",
       "...                             ...                         ...   \n",
       "11261                           NaN                         NaN   \n",
       "11262                           NaN                         NaN   \n",
       "11263                           NaN                         NaN   \n",
       "11264                           NaN                         NaN   \n",
       "11265                           NaN                         NaN   \n",
       "\n",
       "      matchOfficials_7_name_last  matchOfficials_7_id  \\\n",
       "0                            NaN                  NaN   \n",
       "1                            NaN                  NaN   \n",
       "2                            NaN                  NaN   \n",
       "3                            NaN                  NaN   \n",
       "4                            NaN                  NaN   \n",
       "...                          ...                  ...   \n",
       "11261                        NaN                  NaN   \n",
       "11262                        NaN                  NaN   \n",
       "11263                        NaN                  NaN   \n",
       "11264                        NaN                  NaN   \n",
       "11265                        NaN                  NaN   \n",
       "\n",
       "       matchOfficials_8_matchOfficialId matchOfficials_8_role  \\\n",
       "0                                   NaN                   NaN   \n",
       "1                                   NaN                   NaN   \n",
       "2                                   NaN                   NaN   \n",
       "3                                   NaN                   NaN   \n",
       "4                                   NaN                   NaN   \n",
       "...                                 ...                   ...   \n",
       "11261                               NaN                   NaN   \n",
       "11262                               NaN                   NaN   \n",
       "11263                               NaN                   NaN   \n",
       "11264                               NaN                   NaN   \n",
       "11265                               NaN                   NaN   \n",
       "\n",
       "      matchOfficials_8_birth matchOfficials_8_name_display  \\\n",
       "0                        NaN                           NaN   \n",
       "1                        NaN                           NaN   \n",
       "2                        NaN                           NaN   \n",
       "3                        NaN                           NaN   \n",
       "4                        NaN                           NaN   \n",
       "...                      ...                           ...   \n",
       "11261                    NaN                           NaN   \n",
       "11262                    NaN                           NaN   \n",
       "11263                    NaN                           NaN   \n",
       "11264                    NaN                           NaN   \n",
       "11265                    NaN                           NaN   \n",
       "\n",
       "      matchOfficials_8_name_first matchOfficials_8_name_last  \\\n",
       "0                             NaN                        NaN   \n",
       "1                             NaN                        NaN   \n",
       "2                             NaN                        NaN   \n",
       "3                             NaN                        NaN   \n",
       "4                             NaN                        NaN   \n",
       "...                           ...                        ...   \n",
       "11261                         NaN                        NaN   \n",
       "11262                         NaN                        NaN   \n",
       "11263                         NaN                        NaN   \n",
       "11264                         NaN                        NaN   \n",
       "11265                         NaN                        NaN   \n",
       "\n",
       "       matchOfficials_8_id  matchOfficials_9_matchOfficialId  \\\n",
       "0                      NaN                               NaN   \n",
       "1                      NaN                               NaN   \n",
       "2                      NaN                               NaN   \n",
       "3                      NaN                               NaN   \n",
       "4                      NaN                               NaN   \n",
       "...                    ...                               ...   \n",
       "11261                  NaN                               NaN   \n",
       "11262                  NaN                               NaN   \n",
       "11263                  NaN                               NaN   \n",
       "11264                  NaN                               NaN   \n",
       "11265                  NaN                               NaN   \n",
       "\n",
       "      matchOfficials_9_role matchOfficials_9_birth  \\\n",
       "0                       NaN                    NaN   \n",
       "1                       NaN                    NaN   \n",
       "2                       NaN                    NaN   \n",
       "3                       NaN                    NaN   \n",
       "4                       NaN                    NaN   \n",
       "...                     ...                    ...   \n",
       "11261                   NaN                    NaN   \n",
       "11262                   NaN                    NaN   \n",
       "11263                   NaN                    NaN   \n",
       "11264                   NaN                    NaN   \n",
       "11265                   NaN                    NaN   \n",
       "\n",
       "      matchOfficials_9_name_display matchOfficials_9_name_first  \\\n",
       "0                               NaN                         NaN   \n",
       "1                               NaN                         NaN   \n",
       "2                               NaN                         NaN   \n",
       "3                               NaN                         NaN   \n",
       "4                               NaN                         NaN   \n",
       "...                             ...                         ...   \n",
       "11261                           NaN                         NaN   \n",
       "11262                           NaN                         NaN   \n",
       "11263                           NaN                         NaN   \n",
       "11264                           NaN                         NaN   \n",
       "11265                           NaN                         NaN   \n",
       "\n",
       "      matchOfficials_9_name_last  matchOfficials_9_id  \\\n",
       "0                            NaN                  NaN   \n",
       "1                            NaN                  NaN   \n",
       "2                            NaN                  NaN   \n",
       "3                            NaN                  NaN   \n",
       "4                            NaN                  NaN   \n",
       "...                          ...                  ...   \n",
       "11261                        NaN                  NaN   \n",
       "11262                        NaN                  NaN   \n",
       "11263                        NaN                  NaN   \n",
       "11264                        NaN                  NaN   \n",
       "11265                        NaN                  NaN   \n",
       "\n",
       "       matchOfficials_10_matchOfficialId matchOfficials_10_role  \\\n",
       "0                                    NaN                    NaN   \n",
       "1                                    NaN                    NaN   \n",
       "2                                    NaN                    NaN   \n",
       "3                                    NaN                    NaN   \n",
       "4                                    NaN                    NaN   \n",
       "...                                  ...                    ...   \n",
       "11261                                NaN                    NaN   \n",
       "11262                                NaN                    NaN   \n",
       "11263                                NaN                    NaN   \n",
       "11264                                NaN                    NaN   \n",
       "11265                                NaN                    NaN   \n",
       "\n",
       "      matchOfficials_10_birth matchOfficials_10_name_display  \\\n",
       "0                         NaN                            NaN   \n",
       "1                         NaN                            NaN   \n",
       "2                         NaN                            NaN   \n",
       "3                         NaN                            NaN   \n",
       "4                         NaN                            NaN   \n",
       "...                       ...                            ...   \n",
       "11261                     NaN                            NaN   \n",
       "11262                     NaN                            NaN   \n",
       "11263                     NaN                            NaN   \n",
       "11264                     NaN                            NaN   \n",
       "11265                     NaN                            NaN   \n",
       "\n",
       "      matchOfficials_10_name_first matchOfficials_10_name_last  \\\n",
       "0                              NaN                         NaN   \n",
       "1                              NaN                         NaN   \n",
       "2                              NaN                         NaN   \n",
       "3                              NaN                         NaN   \n",
       "4                              NaN                         NaN   \n",
       "...                            ...                         ...   \n",
       "11261                          NaN                         NaN   \n",
       "11262                          NaN                         NaN   \n",
       "11263                          NaN                         NaN   \n",
       "11264                          NaN                         NaN   \n",
       "11265                          NaN                         NaN   \n",
       "\n",
       "       matchOfficials_10_id  matchOfficials_11_matchOfficialId  \\\n",
       "0                       NaN                                NaN   \n",
       "1                       NaN                                NaN   \n",
       "2                       NaN                                NaN   \n",
       "3                       NaN                                NaN   \n",
       "4                       NaN                                NaN   \n",
       "...                     ...                                ...   \n",
       "11261                   NaN                                NaN   \n",
       "11262                   NaN                                NaN   \n",
       "11263                   NaN                                NaN   \n",
       "11264                   NaN                                NaN   \n",
       "11265                   NaN                                NaN   \n",
       "\n",
       "      matchOfficials_11_role matchOfficials_11_birth  \\\n",
       "0                        NaN                     NaN   \n",
       "1                        NaN                     NaN   \n",
       "2                        NaN                     NaN   \n",
       "3                        NaN                     NaN   \n",
       "4                        NaN                     NaN   \n",
       "...                      ...                     ...   \n",
       "11261                    NaN                     NaN   \n",
       "11262                    NaN                     NaN   \n",
       "11263                    NaN                     NaN   \n",
       "11264                    NaN                     NaN   \n",
       "11265                    NaN                     NaN   \n",
       "\n",
       "      matchOfficials_11_name_display matchOfficials_11_name_first  \\\n",
       "0                                NaN                          NaN   \n",
       "1                                NaN                          NaN   \n",
       "2                                NaN                          NaN   \n",
       "3                                NaN                          NaN   \n",
       "4                                NaN                          NaN   \n",
       "...                              ...                          ...   \n",
       "11261                            NaN                          NaN   \n",
       "11262                            NaN                          NaN   \n",
       "11263                            NaN                          NaN   \n",
       "11264                            NaN                          NaN   \n",
       "11265                            NaN                          NaN   \n",
       "\n",
       "      matchOfficials_11_name_last  matchOfficials_11_id  \n",
       "0                             NaN                   NaN  \n",
       "1                             NaN                   NaN  \n",
       "2                             NaN                   NaN  \n",
       "3                             NaN                   NaN  \n",
       "4                             NaN                   NaN  \n",
       "...                           ...                   ...  \n",
       "11261                         NaN                   NaN  \n",
       "11262                         NaN                   NaN  \n",
       "11263                         NaN                   NaN  \n",
       "11264                         NaN                   NaN  \n",
       "11265                         NaN                   NaN  \n",
       "\n",
       "[11266 rows x 151 columns]"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_games"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data cleaning \n",
    "\n",
    "In this part, I will clean the datasets. This mean replacing missing values, correcting values, renaming columns, renaming values.\n",
    "\n",
    "\n",
    "## Games\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:27.748055Z",
     "start_time": "2021-07-24T20:03:27.715624Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gameweek_id</th>\n",
       "      <th>gameweek_compSeason_label</th>\n",
       "      <th>gameweek_compSeason_competition_abbreviation</th>\n",
       "      <th>gameweek_compSeason_competition_description</th>\n",
       "      <th>gameweek_compSeason_competition_level</th>\n",
       "      <th>gameweek_compSeason_competition_source</th>\n",
       "      <th>gameweek_compSeason_competition_id</th>\n",
       "      <th>gameweek_compSeason_competition_altIds_opta</th>\n",
       "      <th>gameweek_compSeason_id</th>\n",
       "      <th>gameweek_gameweek</th>\n",
       "      <th>gameweek_competitionPhase_id</th>\n",
       "      <th>gameweek_competitionPhase_type</th>\n",
       "      <th>gameweek_competitionPhase_gameweekRange_0</th>\n",
       "      <th>gameweek_competitionPhase_gameweekRange_1</th>\n",
       "      <th>kickoff_completeness</th>\n",
       "      <th>kickoff_millis</th>\n",
       "      <th>kickoff_label</th>\n",
       "      <th>kickoff_gmtOffset</th>\n",
       "      <th>provisionalKickoff_completeness</th>\n",
       "      <th>provisionalKickoff_millis</th>\n",
       "      <th>provisionalKickoff_label</th>\n",
       "      <th>provisionalKickoff_gmtOffset</th>\n",
       "      <th>teams_0_team_name</th>\n",
       "      <th>teams_0_team_club_name</th>\n",
       "      <th>teams_0_team_club_shortName</th>\n",
       "      <th>teams_0_team_club_abbr</th>\n",
       "      <th>teams_0_team_club_id</th>\n",
       "      <th>teams_0_team_teamType</th>\n",
       "      <th>teams_0_team_shortName</th>\n",
       "      <th>teams_0_team_id</th>\n",
       "      <th>teams_0_team_altIds_opta</th>\n",
       "      <th>teams_0_score</th>\n",
       "      <th>teams_1_team_name</th>\n",
       "      <th>teams_1_team_club_name</th>\n",
       "      <th>teams_1_team_club_shortName</th>\n",
       "      <th>teams_1_team_club_abbr</th>\n",
       "      <th>teams_1_team_club_id</th>\n",
       "      <th>teams_1_team_teamType</th>\n",
       "      <th>teams_1_team_shortName</th>\n",
       "      <th>teams_1_team_id</th>\n",
       "      <th>teams_1_team_altIds_opta</th>\n",
       "      <th>teams_1_score</th>\n",
       "      <th>replay</th>\n",
       "      <th>ground_name</th>\n",
       "      <th>ground_city</th>\n",
       "      <th>ground_source</th>\n",
       "      <th>ground_id</th>\n",
       "      <th>status</th>\n",
       "      <th>phase</th>\n",
       "      <th>outcome</th>\n",
       "      <th>attendance</th>\n",
       "      <th>clock_secs</th>\n",
       "      <th>clock_label</th>\n",
       "      <th>fixtureType</th>\n",
       "      <th>extraTime</th>\n",
       "      <th>shootout</th>\n",
       "      <th>matchOfficials_0_matchOfficialId</th>\n",
       "      <th>matchOfficials_0_role</th>\n",
       "      <th>matchOfficials_0_birth</th>\n",
       "      <th>matchOfficials_0_name_display</th>\n",
       "      <th>matchOfficials_0_name_first</th>\n",
       "      <th>matchOfficials_0_name_last</th>\n",
       "      <th>matchOfficials_0_id</th>\n",
       "      <th>matchOfficials_1_matchOfficialId</th>\n",
       "      <th>matchOfficials_1_role</th>\n",
       "      <th>matchOfficials_1_birth</th>\n",
       "      <th>matchOfficials_1_name_display</th>\n",
       "      <th>matchOfficials_1_name_first</th>\n",
       "      <th>matchOfficials_1_name_last</th>\n",
       "      <th>matchOfficials_1_id</th>\n",
       "      <th>matchOfficials_2_matchOfficialId</th>\n",
       "      <th>matchOfficials_2_role</th>\n",
       "      <th>matchOfficials_2_birth</th>\n",
       "      <th>matchOfficials_2_name_display</th>\n",
       "      <th>matchOfficials_2_name_first</th>\n",
       "      <th>matchOfficials_2_name_last</th>\n",
       "      <th>matchOfficials_2_id</th>\n",
       "      <th>matchOfficials_3_matchOfficialId</th>\n",
       "      <th>matchOfficials_3_role</th>\n",
       "      <th>matchOfficials_3_birth</th>\n",
       "      <th>matchOfficials_3_name_display</th>\n",
       "      <th>matchOfficials_3_name_first</th>\n",
       "      <th>matchOfficials_3_name_last</th>\n",
       "      <th>matchOfficials_3_id</th>\n",
       "      <th>halfTimeScore_homeScore</th>\n",
       "      <th>halfTimeScore_awayScore</th>\n",
       "      <th>teamLists</th>\n",
       "      <th>events</th>\n",
       "      <th>penaltyShootouts</th>\n",
       "      <th>id</th>\n",
       "      <th>altIds_opta</th>\n",
       "      <th>metadata</th>\n",
       "      <th>match_id</th>\n",
       "      <th>neutralGround</th>\n",
       "      <th>behindClosedDoors</th>\n",
       "      <th>matchOfficials_4_matchOfficialId</th>\n",
       "      <th>matchOfficials_4_birth</th>\n",
       "      <th>matchOfficials_4_name_display</th>\n",
       "      <th>matchOfficials_4_name_first</th>\n",
       "      <th>matchOfficials_4_name_last</th>\n",
       "      <th>matchOfficials_4_id</th>\n",
       "      <th>matchOfficials_5_matchOfficialId</th>\n",
       "      <th>matchOfficials_5_birth</th>\n",
       "      <th>matchOfficials_5_name_display</th>\n",
       "      <th>matchOfficials_5_name_first</th>\n",
       "      <th>matchOfficials_5_name_last</th>\n",
       "      <th>matchOfficials_5_id</th>\n",
       "      <th>matchOfficials_4_role</th>\n",
       "      <th>matchOfficials_5_role</th>\n",
       "      <th>matchOfficials_6_matchOfficialId</th>\n",
       "      <th>matchOfficials_6_role</th>\n",
       "      <th>matchOfficials_6_birth</th>\n",
       "      <th>matchOfficials_6_name_display</th>\n",
       "      <th>matchOfficials_6_name_first</th>\n",
       "      <th>matchOfficials_6_name_last</th>\n",
       "      <th>matchOfficials_6_id</th>\n",
       "      <th>matchOfficials_7_matchOfficialId</th>\n",
       "      <th>matchOfficials_7_role</th>\n",
       "      <th>matchOfficials_7_birth</th>\n",
       "      <th>matchOfficials_7_name_display</th>\n",
       "      <th>matchOfficials_7_name_first</th>\n",
       "      <th>matchOfficials_7_name_last</th>\n",
       "      <th>matchOfficials_7_id</th>\n",
       "      <th>matchOfficials_8_matchOfficialId</th>\n",
       "      <th>matchOfficials_8_role</th>\n",
       "      <th>matchOfficials_8_birth</th>\n",
       "      <th>matchOfficials_8_name_display</th>\n",
       "      <th>matchOfficials_8_name_first</th>\n",
       "      <th>matchOfficials_8_name_last</th>\n",
       "      <th>matchOfficials_8_id</th>\n",
       "      <th>matchOfficials_9_matchOfficialId</th>\n",
       "      <th>matchOfficials_9_role</th>\n",
       "      <th>matchOfficials_9_birth</th>\n",
       "      <th>matchOfficials_9_name_display</th>\n",
       "      <th>matchOfficials_9_name_first</th>\n",
       "      <th>matchOfficials_9_name_last</th>\n",
       "      <th>matchOfficials_9_id</th>\n",
       "      <th>matchOfficials_10_matchOfficialId</th>\n",
       "      <th>matchOfficials_10_role</th>\n",
       "      <th>matchOfficials_10_birth</th>\n",
       "      <th>matchOfficials_10_name_display</th>\n",
       "      <th>matchOfficials_10_name_first</th>\n",
       "      <th>matchOfficials_10_name_last</th>\n",
       "      <th>matchOfficials_10_id</th>\n",
       "      <th>matchOfficials_11_matchOfficialId</th>\n",
       "      <th>matchOfficials_11_role</th>\n",
       "      <th>matchOfficials_11_birth</th>\n",
       "      <th>matchOfficials_11_name_display</th>\n",
       "      <th>matchOfficials_11_name_first</th>\n",
       "      <th>matchOfficials_11_name_last</th>\n",
       "      <th>matchOfficials_11_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>862</td>\n",
       "      <td>2013/14</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>57</td>\n",
       "      <td>L</td>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "      <td>3</td>\n",
       "      <td>1377352800000</td>\n",
       "      <td>Sat 24 Aug 2013, 15:00 BST</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.377353e+12</td>\n",
       "      <td>Sat 24 Aug 2013, 15:00 BST</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Hull City</td>\n",
       "      <td>Hull City</td>\n",
       "      <td>Hull</td>\n",
       "      <td>HUL</td>\n",
       "      <td>41</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Hull</td>\n",
       "      <td>41</td>\n",
       "      <td>t88</td>\n",
       "      <td>1</td>\n",
       "      <td>Norwich City</td>\n",
       "      <td>Norwich City</td>\n",
       "      <td>Norwich</td>\n",
       "      <td>NOR</td>\n",
       "      <td>14</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Norwich</td>\n",
       "      <td>14</td>\n",
       "      <td>t45</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>KCOM Stadium</td>\n",
       "      <td>Hull</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>37</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>H</td>\n",
       "      <td>23682.0</td>\n",
       "      <td>5820</td>\n",
       "      <td>90 +7'00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8639</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Mike Jones</td>\n",
       "      <td>Mike</td>\n",
       "      <td>Jones</td>\n",
       "      <td>16922</td>\n",
       "      <td>8640.0</td>\n",
       "      <td>LINESMAN_1</td>\n",
       "      <td>{}</td>\n",
       "      <td>Jake Collin</td>\n",
       "      <td>Jake</td>\n",
       "      <td>Collin</td>\n",
       "      <td>16994.0</td>\n",
       "      <td>8641.0</td>\n",
       "      <td>LINESMAN_2</td>\n",
       "      <td>{}</td>\n",
       "      <td>Mark Scholes</td>\n",
       "      <td>Mark</td>\n",
       "      <td>Scholes</td>\n",
       "      <td>16982.0</td>\n",
       "      <td>8642.0</td>\n",
       "      <td>FOURTH_OFFICIAL</td>\n",
       "      <td>{}</td>\n",
       "      <td>Michael Naylor</td>\n",
       "      <td>Michael</td>\n",
       "      <td>Naylor</td>\n",
       "      <td>17017.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>9245</td>\n",
       "      <td>g694915</td>\n",
       "      <td>{}</td>\n",
       "      <td>9245</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>612</td>\n",
       "      <td>2007/08</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "      <td>L</td>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>3</td>\n",
       "      <td>1201359600000</td>\n",
       "      <td>Sat 26 Jan 2008, 15:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1.201360e+12</td>\n",
       "      <td>Sat 26 Jan 2008, 15:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>AVL</td>\n",
       "      <td>2</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2</td>\n",
       "      <td>t7</td>\n",
       "      <td>1</td>\n",
       "      <td>Blackburn Rovers</td>\n",
       "      <td>Blackburn Rovers</td>\n",
       "      <td>Blackburn</td>\n",
       "      <td>BLB</td>\n",
       "      <td>3</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Blackburn</td>\n",
       "      <td>3</td>\n",
       "      <td>t5</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>Villa Park</td>\n",
       "      <td>Birmingham</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>7</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5700</td>\n",
       "      <td>90 +5'00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>6194</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Howard Webb</td>\n",
       "      <td>Howard</td>\n",
       "      <td>Webb</td>\n",
       "      <td>16947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>6176</td>\n",
       "      <td>g128672</td>\n",
       "      <td>{}</td>\n",
       "      <td>6176</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>140</td>\n",
       "      <td>1995/96</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "      <td>L</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>822240000000</td>\n",
       "      <td>Sun 21 Jan 1996, 16:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>AVL</td>\n",
       "      <td>2</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2</td>\n",
       "      <td>t7</td>\n",
       "      <td>2</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>Spurs</td>\n",
       "      <td>TOT</td>\n",
       "      <td>21</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Spurs</td>\n",
       "      <td>21</td>\n",
       "      <td>t6</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>Villa Park</td>\n",
       "      <td>Birmingham</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>7</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>H</td>\n",
       "      <td>35666.0</td>\n",
       "      <td>5400</td>\n",
       "      <td>90'00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1525</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Graham Poll</td>\n",
       "      <td>Graham</td>\n",
       "      <td>Poll</td>\n",
       "      <td>16916</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>1619</td>\n",
       "      <td>g13889</td>\n",
       "      <td>{}</td>\n",
       "      <td>1619</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>723</td>\n",
       "      <td>2010/11</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>L</td>\n",
       "      <td>1</td>\n",
       "      <td>38</td>\n",
       "      <td>3</td>\n",
       "      <td>1293548400000</td>\n",
       "      <td>Tue 28 Dec 2010, 15:00 GMT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>Man City</td>\n",
       "      <td>MCI</td>\n",
       "      <td>11</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Man City</td>\n",
       "      <td>11</td>\n",
       "      <td>t43</td>\n",
       "      <td>4</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>AVL</td>\n",
       "      <td>2</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Aston Villa</td>\n",
       "      <td>2</td>\n",
       "      <td>t7</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>Etihad Stadium</td>\n",
       "      <td>Manchester</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>18</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>H</td>\n",
       "      <td>46716.0</td>\n",
       "      <td>5640</td>\n",
       "      <td>90 +4'00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>7200</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Michael Oliver</td>\n",
       "      <td>Michael</td>\n",
       "      <td>Oliver</td>\n",
       "      <td>16963</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>7268</td>\n",
       "      <td>g321850</td>\n",
       "      <td>{}</td>\n",
       "      <td>7268</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>465</td>\n",
       "      <td>2003/04</td>\n",
       "      <td>EN_PR</td>\n",
       "      <td>Premier League</td>\n",
       "      <td>SEN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "      <td>L</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1081191600000</td>\n",
       "      <td>Mon 5 Apr 2004, 20:00 BST</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Leeds United</td>\n",
       "      <td>Leeds United</td>\n",
       "      <td>Leeds</td>\n",
       "      <td>LEE</td>\n",
       "      <td>9</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Leeds</td>\n",
       "      <td>9</td>\n",
       "      <td>t2</td>\n",
       "      <td>3</td>\n",
       "      <td>Leicester City</td>\n",
       "      <td>Leicester City</td>\n",
       "      <td>Leicester</td>\n",
       "      <td>LEI</td>\n",
       "      <td>26</td>\n",
       "      <td>FIRST</td>\n",
       "      <td>Leicester</td>\n",
       "      <td>26</td>\n",
       "      <td>t13</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>Elland Road</td>\n",
       "      <td>Leeds</td>\n",
       "      <td>OPTA</td>\n",
       "      <td>205</td>\n",
       "      <td>C</td>\n",
       "      <td>F</td>\n",
       "      <td>H</td>\n",
       "      <td>34036.0</td>\n",
       "      <td>5640</td>\n",
       "      <td>90 +4'00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4784</td>\n",
       "      <td>MAIN</td>\n",
       "      <td>{}</td>\n",
       "      <td>Mike Dean</td>\n",
       "      <td>Mike</td>\n",
       "      <td>Dean</td>\n",
       "      <td>16941</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[]</td>\n",
       "      <td>4761</td>\n",
       "      <td>g3730</td>\n",
       "      <td>{}</td>\n",
       "      <td>4761</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gameweek_id gameweek_compSeason_label  \\\n",
       "0          862                   2013/14   \n",
       "1          612                   2007/08   \n",
       "2          140                   1995/96   \n",
       "3          723                   2010/11   \n",
       "4          465                   2003/04   \n",
       "\n",
       "  gameweek_compSeason_competition_abbreviation  \\\n",
       "0                                        EN_PR   \n",
       "1                                        EN_PR   \n",
       "2                                        EN_PR   \n",
       "3                                        EN_PR   \n",
       "4                                        EN_PR   \n",
       "\n",
       "  gameweek_compSeason_competition_description  \\\n",
       "0                              Premier League   \n",
       "1                              Premier League   \n",
       "2                              Premier League   \n",
       "3                              Premier League   \n",
       "4                              Premier League   \n",
       "\n",
       "  gameweek_compSeason_competition_level  \\\n",
       "0                                   SEN   \n",
       "1                                   SEN   \n",
       "2                                   SEN   \n",
       "3                                   SEN   \n",
       "4                                   SEN   \n",
       "\n",
       "   gameweek_compSeason_competition_source  gameweek_compSeason_competition_id  \\\n",
       "0                                     NaN                                   1   \n",
       "1                                     NaN                                   1   \n",
       "2                                     NaN                                   1   \n",
       "3                                     NaN                                   1   \n",
       "4                                     NaN                                   1   \n",
       "\n",
       "   gameweek_compSeason_competition_altIds_opta  gameweek_compSeason_id  \\\n",
       "0                                            8                      22   \n",
       "1                                            8                      16   \n",
       "2                                            8                       4   \n",
       "3                                            8                      19   \n",
       "4                                            8                      12   \n",
       "\n",
       "   gameweek_gameweek  gameweek_competitionPhase_id  \\\n",
       "0                  2                            57   \n",
       "1                 23                            16   \n",
       "2                 21                             4   \n",
       "3                 18                            19   \n",
       "4                 30                            12   \n",
       "\n",
       "  gameweek_competitionPhase_type  gameweek_competitionPhase_gameweekRange_0  \\\n",
       "0                              L                                          1   \n",
       "1                              L                                          1   \n",
       "2                              L                                          0   \n",
       "3                              L                                          1   \n",
       "4                              L                                          0   \n",
       "\n",
       "   gameweek_competitionPhase_gameweekRange_1  kickoff_completeness  \\\n",
       "0                                         40                     3   \n",
       "1                                         39                     3   \n",
       "2                                          0                     3   \n",
       "3                                         38                     3   \n",
       "4                                          0                     3   \n",
       "\n",
       "   kickoff_millis               kickoff_label  kickoff_gmtOffset  \\\n",
       "0   1377352800000  Sat 24 Aug 2013, 15:00 BST                1.0   \n",
       "1   1201359600000  Sat 26 Jan 2008, 15:00 GMT                NaN   \n",
       "2    822240000000  Sun 21 Jan 1996, 16:00 GMT                NaN   \n",
       "3   1293548400000  Tue 28 Dec 2010, 15:00 GMT                NaN   \n",
       "4   1081191600000   Mon 5 Apr 2004, 20:00 BST                1.0   \n",
       "\n",
       "   provisionalKickoff_completeness  provisionalKickoff_millis  \\\n",
       "0                                3               1.377353e+12   \n",
       "1                                3               1.201360e+12   \n",
       "2                                0                        NaN   \n",
       "3                                0                        NaN   \n",
       "4                                0                        NaN   \n",
       "\n",
       "     provisionalKickoff_label  provisionalKickoff_gmtOffset teams_0_team_name  \\\n",
       "0  Sat 24 Aug 2013, 15:00 BST                           1.0         Hull City   \n",
       "1  Sat 26 Jan 2008, 15:00 GMT                           NaN       Aston Villa   \n",
       "2                         NaN                           NaN       Aston Villa   \n",
       "3                         NaN                           NaN   Manchester City   \n",
       "4                         NaN                           NaN      Leeds United   \n",
       "\n",
       "  teams_0_team_club_name teams_0_team_club_shortName teams_0_team_club_abbr  \\\n",
       "0              Hull City                        Hull                    HUL   \n",
       "1            Aston Villa                 Aston Villa                    AVL   \n",
       "2            Aston Villa                 Aston Villa                    AVL   \n",
       "3        Manchester City                    Man City                    MCI   \n",
       "4           Leeds United                       Leeds                    LEE   \n",
       "\n",
       "   teams_0_team_club_id teams_0_team_teamType teams_0_team_shortName  \\\n",
       "0                    41                 FIRST                   Hull   \n",
       "1                     2                 FIRST            Aston Villa   \n",
       "2                     2                 FIRST            Aston Villa   \n",
       "3                    11                 FIRST               Man City   \n",
       "4                     9                 FIRST                  Leeds   \n",
       "\n",
       "   teams_0_team_id teams_0_team_altIds_opta  teams_0_score  teams_1_team_name  \\\n",
       "0               41                      t88              1       Norwich City   \n",
       "1                2                       t7              1   Blackburn Rovers   \n",
       "2                2                       t7              2  Tottenham Hotspur   \n",
       "3               11                      t43              4        Aston Villa   \n",
       "4                9                       t2              3     Leicester City   \n",
       "\n",
       "  teams_1_team_club_name teams_1_team_club_shortName teams_1_team_club_abbr  \\\n",
       "0           Norwich City                     Norwich                    NOR   \n",
       "1       Blackburn Rovers                   Blackburn                    BLB   \n",
       "2      Tottenham Hotspur                       Spurs                    TOT   \n",
       "3            Aston Villa                 Aston Villa                    AVL   \n",
       "4         Leicester City                   Leicester                    LEI   \n",
       "\n",
       "   teams_1_team_club_id teams_1_team_teamType teams_1_team_shortName  \\\n",
       "0                    14                 FIRST                Norwich   \n",
       "1                     3                 FIRST              Blackburn   \n",
       "2                    21                 FIRST                  Spurs   \n",
       "3                     2                 FIRST            Aston Villa   \n",
       "4                    26                 FIRST              Leicester   \n",
       "\n",
       "   teams_1_team_id teams_1_team_altIds_opta  teams_1_score  replay  \\\n",
       "0               14                      t45              0   False   \n",
       "1                3                       t5              1   False   \n",
       "2               21                       t6              1   False   \n",
       "3                2                       t7              0   False   \n",
       "4               26                      t13              2   False   \n",
       "\n",
       "      ground_name ground_city ground_source  ground_id status phase outcome  \\\n",
       "0    KCOM Stadium        Hull          OPTA         37      C     F       H   \n",
       "1      Villa Park  Birmingham          OPTA          7      C     F       D   \n",
       "2      Villa Park  Birmingham          OPTA          7      C     F       H   \n",
       "3  Etihad Stadium  Manchester          OPTA         18      C     F       H   \n",
       "4     Elland Road       Leeds          OPTA        205      C     F       H   \n",
       "\n",
       "   attendance  clock_secs clock_label fixtureType extraTime shootout  \\\n",
       "0     23682.0        5820    90 +7'00     REGULAR     False    False   \n",
       "1         NaN        5700    90 +5'00     REGULAR     False    False   \n",
       "2     35666.0        5400       90'00         NaN       NaN      NaN   \n",
       "3     46716.0        5640    90 +4'00     REGULAR     False    False   \n",
       "4     34036.0        5640    90 +4'00         NaN       NaN      NaN   \n",
       "\n",
       "   matchOfficials_0_matchOfficialId matchOfficials_0_role  \\\n",
       "0                              8639                  MAIN   \n",
       "1                              6194                  MAIN   \n",
       "2                              1525                  MAIN   \n",
       "3                              7200                  MAIN   \n",
       "4                              4784                  MAIN   \n",
       "\n",
       "  matchOfficials_0_birth matchOfficials_0_name_display  \\\n",
       "0                     {}                    Mike Jones   \n",
       "1                     {}                   Howard Webb   \n",
       "2                     {}                   Graham Poll   \n",
       "3                     {}                Michael Oliver   \n",
       "4                     {}                     Mike Dean   \n",
       "\n",
       "  matchOfficials_0_name_first matchOfficials_0_name_last  matchOfficials_0_id  \\\n",
       "0                        Mike                      Jones                16922   \n",
       "1                      Howard                       Webb                16947   \n",
       "2                      Graham                       Poll                16916   \n",
       "3                     Michael                     Oliver                16963   \n",
       "4                        Mike                       Dean                16941   \n",
       "\n",
       "   matchOfficials_1_matchOfficialId matchOfficials_1_role  \\\n",
       "0                            8640.0            LINESMAN_1   \n",
       "1                               NaN                   NaN   \n",
       "2                               NaN                   NaN   \n",
       "3                               NaN                   NaN   \n",
       "4                               NaN                   NaN   \n",
       "\n",
       "  matchOfficials_1_birth matchOfficials_1_name_display  \\\n",
       "0                     {}                   Jake Collin   \n",
       "1                    NaN                           NaN   \n",
       "2                    NaN                           NaN   \n",
       "3                    NaN                           NaN   \n",
       "4                    NaN                           NaN   \n",
       "\n",
       "  matchOfficials_1_name_first matchOfficials_1_name_last  matchOfficials_1_id  \\\n",
       "0                        Jake                     Collin              16994.0   \n",
       "1                         NaN                        NaN                  NaN   \n",
       "2                         NaN                        NaN                  NaN   \n",
       "3                         NaN                        NaN                  NaN   \n",
       "4                         NaN                        NaN                  NaN   \n",
       "\n",
       "   matchOfficials_2_matchOfficialId matchOfficials_2_role  \\\n",
       "0                            8641.0            LINESMAN_2   \n",
       "1                               NaN                   NaN   \n",
       "2                               NaN                   NaN   \n",
       "3                               NaN                   NaN   \n",
       "4                               NaN                   NaN   \n",
       "\n",
       "  matchOfficials_2_birth matchOfficials_2_name_display  \\\n",
       "0                     {}                  Mark Scholes   \n",
       "1                    NaN                           NaN   \n",
       "2                    NaN                           NaN   \n",
       "3                    NaN                           NaN   \n",
       "4                    NaN                           NaN   \n",
       "\n",
       "  matchOfficials_2_name_first matchOfficials_2_name_last  matchOfficials_2_id  \\\n",
       "0                        Mark                    Scholes              16982.0   \n",
       "1                         NaN                        NaN                  NaN   \n",
       "2                         NaN                        NaN                  NaN   \n",
       "3                         NaN                        NaN                  NaN   \n",
       "4                         NaN                        NaN                  NaN   \n",
       "\n",
       "   matchOfficials_3_matchOfficialId matchOfficials_3_role  \\\n",
       "0                            8642.0       FOURTH_OFFICIAL   \n",
       "1                               NaN                   NaN   \n",
       "2                               NaN                   NaN   \n",
       "3                               NaN                   NaN   \n",
       "4                               NaN                   NaN   \n",
       "\n",
       "  matchOfficials_3_birth matchOfficials_3_name_display  \\\n",
       "0                     {}                Michael Naylor   \n",
       "1                    NaN                           NaN   \n",
       "2                    NaN                           NaN   \n",
       "3                    NaN                           NaN   \n",
       "4                    NaN                           NaN   \n",
       "\n",
       "  matchOfficials_3_name_first matchOfficials_3_name_last  matchOfficials_3_id  \\\n",
       "0                     Michael                     Naylor              17017.0   \n",
       "1                         NaN                        NaN                  NaN   \n",
       "2                         NaN                        NaN                  NaN   \n",
       "3                         NaN                        NaN                  NaN   \n",
       "4                         NaN                        NaN                  NaN   \n",
       "\n",
       "   halfTimeScore_homeScore  halfTimeScore_awayScore  teamLists  events  \\\n",
       "0                        1                        0        NaN     NaN   \n",
       "1                        0                        0        NaN     NaN   \n",
       "2                        1                        1        NaN     NaN   \n",
       "3                        3                        0        NaN     NaN   \n",
       "4                        2                        0        NaN     NaN   \n",
       "\n",
       "  penaltyShootouts    id altIds_opta metadata  match_id neutralGround  \\\n",
       "0               []  9245     g694915       {}      9245           NaN   \n",
       "1               []  6176     g128672       {}      6176           NaN   \n",
       "2               []  1619      g13889       {}      1619         False   \n",
       "3               []  7268     g321850       {}      7268         False   \n",
       "4               []  4761       g3730       {}      4761         False   \n",
       "\n",
       "  behindClosedDoors  matchOfficials_4_matchOfficialId matchOfficials_4_birth  \\\n",
       "0               NaN                               NaN                    NaN   \n",
       "1               NaN                               NaN                    NaN   \n",
       "2               NaN                               NaN                    NaN   \n",
       "3               NaN                               NaN                    NaN   \n",
       "4               NaN                               NaN                    NaN   \n",
       "\n",
       "  matchOfficials_4_name_display matchOfficials_4_name_first  \\\n",
       "0                           NaN                         NaN   \n",
       "1                           NaN                         NaN   \n",
       "2                           NaN                         NaN   \n",
       "3                           NaN                         NaN   \n",
       "4                           NaN                         NaN   \n",
       "\n",
       "  matchOfficials_4_name_last  matchOfficials_4_id  \\\n",
       "0                        NaN                  NaN   \n",
       "1                        NaN                  NaN   \n",
       "2                        NaN                  NaN   \n",
       "3                        NaN                  NaN   \n",
       "4                        NaN                  NaN   \n",
       "\n",
       "   matchOfficials_5_matchOfficialId matchOfficials_5_birth  \\\n",
       "0                               NaN                    NaN   \n",
       "1                               NaN                    NaN   \n",
       "2                               NaN                    NaN   \n",
       "3                               NaN                    NaN   \n",
       "4                               NaN                    NaN   \n",
       "\n",
       "  matchOfficials_5_name_display matchOfficials_5_name_first  \\\n",
       "0                           NaN                         NaN   \n",
       "1                           NaN                         NaN   \n",
       "2                           NaN                         NaN   \n",
       "3                           NaN                         NaN   \n",
       "4                           NaN                         NaN   \n",
       "\n",
       "  matchOfficials_5_name_last  matchOfficials_5_id matchOfficials_4_role  \\\n",
       "0                        NaN                  NaN                   NaN   \n",
       "1                        NaN                  NaN                   NaN   \n",
       "2                        NaN                  NaN                   NaN   \n",
       "3                        NaN                  NaN                   NaN   \n",
       "4                        NaN                  NaN                   NaN   \n",
       "\n",
       "  matchOfficials_5_role  matchOfficials_6_matchOfficialId  \\\n",
       "0                   NaN                               NaN   \n",
       "1                   NaN                               NaN   \n",
       "2                   NaN                               NaN   \n",
       "3                   NaN                               NaN   \n",
       "4                   NaN                               NaN   \n",
       "\n",
       "  matchOfficials_6_role matchOfficials_6_birth matchOfficials_6_name_display  \\\n",
       "0                   NaN                    NaN                           NaN   \n",
       "1                   NaN                    NaN                           NaN   \n",
       "2                   NaN                    NaN                           NaN   \n",
       "3                   NaN                    NaN                           NaN   \n",
       "4                   NaN                    NaN                           NaN   \n",
       "\n",
       "  matchOfficials_6_name_first matchOfficials_6_name_last  matchOfficials_6_id  \\\n",
       "0                         NaN                        NaN                  NaN   \n",
       "1                         NaN                        NaN                  NaN   \n",
       "2                         NaN                        NaN                  NaN   \n",
       "3                         NaN                        NaN                  NaN   \n",
       "4                         NaN                        NaN                  NaN   \n",
       "\n",
       "   matchOfficials_7_matchOfficialId matchOfficials_7_role  \\\n",
       "0                               NaN                   NaN   \n",
       "1                               NaN                   NaN   \n",
       "2                               NaN                   NaN   \n",
       "3                               NaN                   NaN   \n",
       "4                               NaN                   NaN   \n",
       "\n",
       "  matchOfficials_7_birth matchOfficials_7_name_display  \\\n",
       "0                    NaN                           NaN   \n",
       "1                    NaN                           NaN   \n",
       "2                    NaN                           NaN   \n",
       "3                    NaN                           NaN   \n",
       "4                    NaN                           NaN   \n",
       "\n",
       "  matchOfficials_7_name_first matchOfficials_7_name_last  matchOfficials_7_id  \\\n",
       "0                         NaN                        NaN                  NaN   \n",
       "1                         NaN                        NaN                  NaN   \n",
       "2                         NaN                        NaN                  NaN   \n",
       "3                         NaN                        NaN                  NaN   \n",
       "4                         NaN                        NaN                  NaN   \n",
       "\n",
       "   matchOfficials_8_matchOfficialId matchOfficials_8_role  \\\n",
       "0                               NaN                   NaN   \n",
       "1                               NaN                   NaN   \n",
       "2                               NaN                   NaN   \n",
       "3                               NaN                   NaN   \n",
       "4                               NaN                   NaN   \n",
       "\n",
       "  matchOfficials_8_birth matchOfficials_8_name_display  \\\n",
       "0                    NaN                           NaN   \n",
       "1                    NaN                           NaN   \n",
       "2                    NaN                           NaN   \n",
       "3                    NaN                           NaN   \n",
       "4                    NaN                           NaN   \n",
       "\n",
       "  matchOfficials_8_name_first matchOfficials_8_name_last  matchOfficials_8_id  \\\n",
       "0                         NaN                        NaN                  NaN   \n",
       "1                         NaN                        NaN                  NaN   \n",
       "2                         NaN                        NaN                  NaN   \n",
       "3                         NaN                        NaN                  NaN   \n",
       "4                         NaN                        NaN                  NaN   \n",
       "\n",
       "   matchOfficials_9_matchOfficialId matchOfficials_9_role  \\\n",
       "0                               NaN                   NaN   \n",
       "1                               NaN                   NaN   \n",
       "2                               NaN                   NaN   \n",
       "3                               NaN                   NaN   \n",
       "4                               NaN                   NaN   \n",
       "\n",
       "  matchOfficials_9_birth matchOfficials_9_name_display  \\\n",
       "0                    NaN                           NaN   \n",
       "1                    NaN                           NaN   \n",
       "2                    NaN                           NaN   \n",
       "3                    NaN                           NaN   \n",
       "4                    NaN                           NaN   \n",
       "\n",
       "  matchOfficials_9_name_first matchOfficials_9_name_last  matchOfficials_9_id  \\\n",
       "0                         NaN                        NaN                  NaN   \n",
       "1                         NaN                        NaN                  NaN   \n",
       "2                         NaN                        NaN                  NaN   \n",
       "3                         NaN                        NaN                  NaN   \n",
       "4                         NaN                        NaN                  NaN   \n",
       "\n",
       "   matchOfficials_10_matchOfficialId matchOfficials_10_role  \\\n",
       "0                                NaN                    NaN   \n",
       "1                                NaN                    NaN   \n",
       "2                                NaN                    NaN   \n",
       "3                                NaN                    NaN   \n",
       "4                                NaN                    NaN   \n",
       "\n",
       "  matchOfficials_10_birth matchOfficials_10_name_display  \\\n",
       "0                     NaN                            NaN   \n",
       "1                     NaN                            NaN   \n",
       "2                     NaN                            NaN   \n",
       "3                     NaN                            NaN   \n",
       "4                     NaN                            NaN   \n",
       "\n",
       "  matchOfficials_10_name_first matchOfficials_10_name_last  \\\n",
       "0                          NaN                         NaN   \n",
       "1                          NaN                         NaN   \n",
       "2                          NaN                         NaN   \n",
       "3                          NaN                         NaN   \n",
       "4                          NaN                         NaN   \n",
       "\n",
       "   matchOfficials_10_id  matchOfficials_11_matchOfficialId  \\\n",
       "0                   NaN                                NaN   \n",
       "1                   NaN                                NaN   \n",
       "2                   NaN                                NaN   \n",
       "3                   NaN                                NaN   \n",
       "4                   NaN                                NaN   \n",
       "\n",
       "  matchOfficials_11_role matchOfficials_11_birth  \\\n",
       "0                    NaN                     NaN   \n",
       "1                    NaN                     NaN   \n",
       "2                    NaN                     NaN   \n",
       "3                    NaN                     NaN   \n",
       "4                    NaN                     NaN   \n",
       "\n",
       "  matchOfficials_11_name_display matchOfficials_11_name_first  \\\n",
       "0                            NaN                          NaN   \n",
       "1                            NaN                          NaN   \n",
       "2                            NaN                          NaN   \n",
       "3                            NaN                          NaN   \n",
       "4                            NaN                          NaN   \n",
       "\n",
       "  matchOfficials_11_name_last  matchOfficials_11_id  \n",
       "0                         NaN                   NaN  \n",
       "1                         NaN                   NaN  \n",
       "2                         NaN                   NaN  \n",
       "3                         NaN                   NaN  \n",
       "4                         NaN                   NaN  "
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_games.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Columns renaming \n",
    "Most columns in the datasets are not relevant to this analysis and will be deleted. Other columns have long or are confusing names so they will get renamed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:28.456907Z",
     "start_time": "2021-07-24T20:03:27.748797Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season</th>\n",
       "      <th>season_id</th>\n",
       "      <th>kickoff_dt</th>\n",
       "      <th>home_team</th>\n",
       "      <th>home_team_abbr</th>\n",
       "      <th>home_team_id</th>\n",
       "      <th>home_score</th>\n",
       "      <th>away_team</th>\n",
       "      <th>away_team_abbr</th>\n",
       "      <th>away_team_id</th>\n",
       "      <th>away_score</th>\n",
       "      <th>stadium</th>\n",
       "      <th>city</th>\n",
       "      <th>outcome</th>\n",
       "      <th>attendance</th>\n",
       "      <th>game_length_secs</th>\n",
       "      <th>clock_label</th>\n",
       "      <th>home_htscore</th>\n",
       "      <th>away_htscore</th>\n",
       "      <th>match_id</th>\n",
       "      <th>closed_doors</th>\n",
       "      <th>referee</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013/14</td>\n",
       "      <td>22</td>\n",
       "      <td>Sat 24 Aug 2013, 15:00 BST</td>\n",
       "      <td>Hull City</td>\n",
       "      <td>HUL</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>Norwich City</td>\n",
       "      <td>NOR</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>KCOM Stadium</td>\n",
       "      <td>Hull</td>\n",
       "      <td>H</td>\n",
       "      <td>23682.0</td>\n",
       "      <td>5820</td>\n",
       "      <td>90 +7'00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>9245</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mike Jones</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    season  season_id                  kickoff_dt  home_team home_team_abbr  \\\n",
       "0  2013/14         22  Sat 24 Aug 2013, 15:00 BST  Hull City            HUL   \n",
       "\n",
       "   home_team_id  home_score     away_team away_team_abbr  away_team_id  \\\n",
       "0            41           1  Norwich City            NOR            14   \n",
       "\n",
       "   away_score       stadium  city outcome  attendance  game_length_secs  \\\n",
       "0           0  KCOM Stadium  Hull       H     23682.0              5820   \n",
       "\n",
       "  clock_label  home_htscore  away_htscore  match_id closed_doors     referee  \n",
       "0    90 +7'00             1             0      9245          NaN  Mike Jones  "
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Removing all gameweek from the columnbs name. This keyword was present a lot\n",
    "df_games.columns = list(map(lambda x: x.replace(\"gameweek_\", \"\"), df_games.columns))\n",
    "\n",
    "# Creating a list of unnecessary variables\n",
    "unuseful_features = [\n",
    "    \"id\", \"compSeason_competition_level\", \"compSeason_competition_source\",\n",
    "    \"compSeason_competition_id\", \"compSeason_competition_altIds_opta\",\n",
    "    \"competitionPhase_id\", \"competitionPhase_type\",\n",
    "    \"competitionPhase_gameweekRange_0\", \"competitionPhase_gameweekRange_1\",\n",
    "    \"kickoff_completeness\", \"kickoff_gmtOffset\",\n",
    "    \"provisionalKickoff_completeness\", \"teams_0_team_club_name\",\n",
    "    \"teams_0_team_teamType\", \"teams_0_team_shortName\", \"teams_0_team_id\",\n",
    "    \"teams_0_team_altIds_opta\", \"teams_1_team_teamType\",\n",
    "    \"teams_1_team_shortName\", \"teams_1_team_id\", \"teams_1_team_altIds_opta\",\n",
    "    \"replay\", \"ground_source\", \"ground_id\", \"neutralGround\", \"status\", \"phase\",\n",
    "    \"matchOfficials_0_matchOfficialId\", \"matchOfficials_0_role\", \"teamLists\",\n",
    "    \"events\", \"penaltyShootouts\", \"altIds_opta\", \"metadata\",\n",
    "    \"provisionalKickoff_millis\", \"provisionalKickoff_label\",\n",
    "    \"provisionalKickoff_gmtOffset\", \"fixtureType\", \"extraTime\", \"shootout\",\n",
    "    \"teams_0_team_club_name\", \"teamlists\",\n",
    "    \"compSeason_competition_abbreviation\", \"teams_0_team_club_shortName\",\n",
    "    \"compSeason_competition_description\", \"kickoff_millis\",\n",
    "    \"teams_1_team_club_name\", \"teams_1_team_club_shortName\", \"gameweek\"]\n",
    "\n",
    "\n",
    "referee = df_games[\"matchOfficials_0_name_display\"]\n",
    "\n",
    "\n",
    "# Removing thoses variables\n",
    "for col in df_games.columns:\n",
    "    if col in unuseful_features or \"matchOfficials\" in col or \"teamLists_\" in col:\n",
    "        try:\n",
    "            df_games.drop(col, axis=1, inplace=True)\n",
    "        except: ...\n",
    "\n",
    "            \n",
    "# Creating a list of new names\n",
    "replace = {\n",
    "    \"compSeason_label\": \"season\",\n",
    "    \"compSeason_competition_abbreviation\": \"season_abbr\",\n",
    "    \"compSeason_id\": \"season_id\",\n",
    "    \"kickoff_label\": \"kickoff_dt\",\n",
    "    \"teams_0_team_name\": \"home_team\",\n",
    "    \"teams_0_team_club_abbr\": \"home_team_abbr\",\n",
    "    \"teams_0_team_club_id\": \"home_team_id\",\n",
    "    \"teams_0_score\": \"home_score\",\n",
    "    \"teams_1_team_name\": \"away_team\",\n",
    "    \"teams_1_team_club_abbr\": \"away_team_abbr\",\n",
    "    \"teams_1_team_club_id\": \"away_team_id\",\n",
    "    \"teams_1_score\": \"away_score\",\n",
    "    \"ground_name\": \"stadium\",\n",
    "    \"ground_city\": \"city\",\n",
    "    \"clock_secs\": \"game_length_secs\",\n",
    "    \"matchOfficials_0_name_first\": \"referee_firstname\",\n",
    "    \"matchOfficials_0_name_last\": \"referee_lastname\",\n",
    "    \"halfTimeScore_homeScore\": \"home_htscore\",\n",
    "    \"halfTimeScore_awayScore\": \"away_htscore\",\n",
    "    \"Match ID\": \"match_id\",\n",
    "    \"behindClosedDoors\": \"closed_doors\", \n",
    "    \"Match ID\": \"match_id\"}\n",
    "\n",
    "\n",
    "# Renaming columns with the dictionary \n",
    "df_games.rename(columns=replace, inplace=True)\n",
    "df_games[\"referee\"] = referee\n",
    "    \n",
    "df_games.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Describe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:28.505224Z",
     "start_time": "2021-07-24T20:03:28.459906Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season</th>\n",
       "      <th>season_id</th>\n",
       "      <th>kickoff_dt</th>\n",
       "      <th>home_team</th>\n",
       "      <th>home_team_abbr</th>\n",
       "      <th>home_team_id</th>\n",
       "      <th>home_score</th>\n",
       "      <th>away_team</th>\n",
       "      <th>away_team_abbr</th>\n",
       "      <th>away_team_id</th>\n",
       "      <th>away_score</th>\n",
       "      <th>stadium</th>\n",
       "      <th>city</th>\n",
       "      <th>outcome</th>\n",
       "      <th>attendance</th>\n",
       "      <th>game_length_secs</th>\n",
       "      <th>clock_label</th>\n",
       "      <th>home_htscore</th>\n",
       "      <th>away_htscore</th>\n",
       "      <th>match_id</th>\n",
       "      <th>closed_doors</th>\n",
       "      <th>referee</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>11266</td>\n",
       "      <td>11266.00</td>\n",
       "      <td>11266</td>\n",
       "      <td>11266</td>\n",
       "      <td>11266</td>\n",
       "      <td>11266.00</td>\n",
       "      <td>11266.00</td>\n",
       "      <td>11266</td>\n",
       "      <td>11266</td>\n",
       "      <td>11266.00</td>\n",
       "      <td>11266.00</td>\n",
       "      <td>11266</td>\n",
       "      <td>11266</td>\n",
       "      <td>11266</td>\n",
       "      <td>10306.00</td>\n",
       "      <td>11266.00</td>\n",
       "      <td>11266</td>\n",
       "      <td>11266.00</td>\n",
       "      <td>11266.00</td>\n",
       "      <td>11266.00</td>\n",
       "      <td>1900</td>\n",
       "      <td>11266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5308</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70</td>\n",
       "      <td>37</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>1992/93</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sat 11 May 2002, 15:00 BST</td>\n",
       "      <td>Tottenham Hotspur</td>\n",
       "      <td>TOT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>CHE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stamford Bridge</td>\n",
       "      <td>London</td>\n",
       "      <td>H</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90'00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>Mike Dean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>462</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>557</td>\n",
       "      <td>557</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>557</td>\n",
       "      <td>557</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>557</td>\n",
       "      <td>3116</td>\n",
       "      <td>5172</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4421</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1463</td>\n",
       "      <td>534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>43.96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.21</td>\n",
       "      <td>1.52</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.21</td>\n",
       "      <td>1.13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32610.77</td>\n",
       "      <td>5570.20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.68</td>\n",
       "      <td>0.49</td>\n",
       "      <td>10177.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>83.99</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.98</td>\n",
       "      <td>1.30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.98</td>\n",
       "      <td>1.13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13774.94</td>\n",
       "      <td>151.22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.84</td>\n",
       "      <td>0.71</td>\n",
       "      <td>13777.57</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2000.00</td>\n",
       "      <td>5400.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>7.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22863.25</td>\n",
       "      <td>5400.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2817.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>15.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30460.50</td>\n",
       "      <td>5640.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5633.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>22.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39505.00</td>\n",
       "      <td>5700.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>9453.75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>363.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>159.00</td>\n",
       "      <td>9.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>159.00</td>\n",
       "      <td>9.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83222.00</td>\n",
       "      <td>6480.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>59275.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         season  season_id                  kickoff_dt          home_team  \\\n",
       "count     11266   11266.00                       11266              11266   \n",
       "unique       29        NaN                        5308                 49   \n",
       "top     1992/93        NaN  Sat 11 May 2002, 15:00 BST  Tottenham Hotspur   \n",
       "freq        462        NaN                          10                557   \n",
       "mean        NaN      43.96                         NaN                NaN   \n",
       "std         NaN      83.99                         NaN                NaN   \n",
       "min         NaN       1.00                         NaN                NaN   \n",
       "25%         NaN       7.00                         NaN                NaN   \n",
       "50%         NaN      15.00                         NaN                NaN   \n",
       "75%         NaN      22.00                         NaN                NaN   \n",
       "max         NaN     363.00                         NaN                NaN   \n",
       "\n",
       "       home_team_abbr  home_team_id  home_score away_team away_team_abbr  \\\n",
       "count           11266      11266.00    11266.00     11266          11266   \n",
       "unique             49           NaN         NaN        49             49   \n",
       "top               TOT           NaN         NaN   Chelsea            CHE   \n",
       "freq              557           NaN         NaN       557            557   \n",
       "mean              NaN         20.21        1.52       NaN            NaN   \n",
       "std               NaN         19.98        1.30       NaN            NaN   \n",
       "min               NaN          1.00        0.00       NaN            NaN   \n",
       "25%               NaN          7.00        1.00       NaN            NaN   \n",
       "50%               NaN         18.00        1.00       NaN            NaN   \n",
       "75%               NaN         27.00        2.00       NaN            NaN   \n",
       "max               NaN        159.00        9.00       NaN            NaN   \n",
       "\n",
       "        away_team_id  away_score          stadium    city outcome  attendance  \\\n",
       "count       11266.00    11266.00            11266   11266   11266    10306.00   \n",
       "unique           NaN         NaN               70      37       3         NaN   \n",
       "top              NaN         NaN  Stamford Bridge  London       H         NaN   \n",
       "freq             NaN         NaN              557    3116    5172         NaN   \n",
       "mean           20.21        1.13              NaN     NaN     NaN    32610.77   \n",
       "std            19.98        1.13              NaN     NaN     NaN    13774.94   \n",
       "min             1.00        0.00              NaN     NaN     NaN     2000.00   \n",
       "25%             7.00        0.00              NaN     NaN     NaN    22863.25   \n",
       "50%            18.00        1.00              NaN     NaN     NaN    30460.50   \n",
       "75%            27.00        2.00              NaN     NaN     NaN    39505.00   \n",
       "max           159.00        9.00              NaN     NaN     NaN    83222.00   \n",
       "\n",
       "        game_length_secs clock_label  home_htscore  away_htscore  match_id  \\\n",
       "count           11266.00       11266      11266.00      11266.00  11266.00   \n",
       "unique               NaN          15           NaN           NaN       NaN   \n",
       "top                  NaN       90'00           NaN           NaN       NaN   \n",
       "freq                 NaN        4421           NaN           NaN       NaN   \n",
       "mean             5570.20         NaN          0.68          0.49  10177.21   \n",
       "std               151.22         NaN          0.84          0.71  13777.57   \n",
       "min              5400.00         NaN          0.00          0.00      1.00   \n",
       "25%              5400.00         NaN          0.00          0.00   2817.25   \n",
       "50%              5640.00         NaN          0.00          0.00   5633.50   \n",
       "75%              5700.00         NaN          1.00          1.00   9453.75   \n",
       "max              6480.00         NaN          5.00          5.00  59275.00   \n",
       "\n",
       "       closed_doors    referee  \n",
       "count          1900      11266  \n",
       "unique            2        111  \n",
       "top           False  Mike Dean  \n",
       "freq           1463        534  \n",
       "mean            NaN        NaN  \n",
       "std             NaN        NaN  \n",
       "min             NaN        NaN  \n",
       "25%             NaN        NaN  \n",
       "50%             NaN        NaN  \n",
       "75%             NaN        NaN  \n",
       "max             NaN        NaN  "
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_games.describe(include=\"all\").round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can already understands some things that happened in Premier League. The highest number of goals scored at home or away is `9` goals which is an insane number that almost never happens"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Infos\n",
    "Changing `kickoff_dt` type to have it correctly in `.info()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-18T15:02:22.233901Z",
     "start_time": "2021-07-18T15:02:22.229738Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:28.605708Z",
     "start_time": "2021-07-24T20:03:28.505912Z"
    }
   },
   "outputs": [],
   "source": [
    "for col in df_games.columns:\n",
    "    df_games[col] = df_games[col].apply(lambda x: x.lower() if type(x)==str else x)\n",
    "    \n",
    "    \n",
    "df_games[\"kickoff_dt\"] = df_games[\"kickoff_dt\"].apply(lambda x: x.replace(\"bst\", \"\")\n",
    "                                                                 .replace(\"gmt\",\"\")\n",
    "                                                                 .replace(\",\",\"\")\n",
    "                                                                 .strip())\n",
    "\n",
    "df_games[\"kickoff_dt\"] = pd.to_datetime(df_games[\"kickoff_dt\"], format='%a %d %b %Y %H:%M')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:28.635339Z",
     "start_time": "2021-07-24T20:03:28.606322Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 11266 entries, 0 to 11265\n",
      "Data columns (total 22 columns):\n",
      " #   Column            Non-Null Count  Dtype         \n",
      "---  ------            --------------  -----         \n",
      " 0   season            11266 non-null  object        \n",
      " 1   season_id         11266 non-null  int64         \n",
      " 2   kickoff_dt        11266 non-null  datetime64[ns]\n",
      " 3   home_team         11266 non-null  object        \n",
      " 4   home_team_abbr    11266 non-null  object        \n",
      " 5   home_team_id      11266 non-null  int64         \n",
      " 6   home_score        11266 non-null  int64         \n",
      " 7   away_team         11266 non-null  object        \n",
      " 8   away_team_abbr    11266 non-null  object        \n",
      " 9   away_team_id      11266 non-null  int64         \n",
      " 10  away_score        11266 non-null  int64         \n",
      " 11  stadium           11266 non-null  object        \n",
      " 12  city              11266 non-null  object        \n",
      " 13  outcome           11266 non-null  object        \n",
      " 14  attendance        10306 non-null  float64       \n",
      " 15  game_length_secs  11266 non-null  int64         \n",
      " 16  clock_label       11266 non-null  object        \n",
      " 17  home_htscore      11266 non-null  int64         \n",
      " 18  away_htscore      11266 non-null  int64         \n",
      " 19  match_id          11266 non-null  int64         \n",
      " 20  closed_doors      1900 non-null   object        \n",
      " 21  referee           11266 non-null  object        \n",
      "dtypes: datetime64[ns](1), float64(1), int64(9), object(11)\n",
      "memory usage: 1.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df_games.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All columns seems to have their corresponding data type."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:28.646679Z",
     "start_time": "2021-07-24T20:03:28.639421Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>missing_val_count</th>\n",
       "      <th>missing_val_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>attendance</th>\n",
       "      <td>960</td>\n",
       "      <td>8.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>closed_doors</th>\n",
       "      <td>9366</td>\n",
       "      <td>83.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              missing_val_count  missing_val_percent\n",
       "attendance                  960                  8.5\n",
       "closed_doors               9366                 83.1"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "missing(df_games)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:29.169896Z",
     "start_time": "2021-07-24T20:03:28.647373Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1440x648 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "klib.missingval_plot(df_games, figsize=(20, 9));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This visual describes the missing values in the dataset. See it as a copy of the entire dataset where missing values are replaced by thin black lines and non-missing values by white.\n",
    "\n",
    "Here we can see that most of the missing values come from the `attendance` and `closed_doors`. \n",
    "After some research, it seems like the `attendance` for the games around the 6000th row were not recorded. the lasts one are mostly due to Covid-19 and closed stadiums.\n",
    "For the closed doors this "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:29.184341Z",
     "start_time": "2021-07-24T20:03:29.170506Z"
    }
   },
   "outputs": [],
   "source": [
    "# missing_vals = df_games[df_games[\"closed_doors\"].isna()][\"attendance\"].isna().sum()\n",
    "# print(f\"Where closed_doors is null, attendance is null {missing_vals} times.\")\n",
    "\n",
    "# df_games[~df_games[\"closed_doors\"].isna()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-04T15:27:29.121008Z",
     "start_time": "2021-07-04T15:27:29.115668Z"
    }
   },
   "source": [
    "**Replacing missing values**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:29.189916Z",
     "start_time": "2021-07-24T20:03:29.185161Z"
    }
   },
   "outputs": [],
   "source": [
    "df_games[\"closed_doors\"] = df_games[\"attendance\"].apply(lambda x: 0 if x > 0 else 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:29.197478Z",
     "start_time": "2021-07-24T20:03:29.190681Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>missing_val_count</th>\n",
       "      <th>missing_val_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>attendance</th>\n",
       "      <td>960</td>\n",
       "      <td>8.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            missing_val_count  missing_val_percent\n",
       "attendance                960                  8.5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "missing(df_games)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fe\n",
    "\n",
    "Adding ref count, the total number of time the referee was refereeing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:29.203592Z",
     "start_time": "2021-07-24T20:03:29.198138Z"
    }
   },
   "outputs": [],
   "source": [
    "ref_val_count = df_games[\"referee\"].value_counts().to_dict()\n",
    "df_games[\"ref_count\"] = df_games[\"referee\"].apply(lambda x: ref_val_count[x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-18T15:30:03.933313Z",
     "start_time": "2021-07-18T15:30:03.906640Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:29.210946Z",
     "start_time": "2021-07-24T20:03:29.204837Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>clock_secs</th>\n",
       "      <th>clock_label</th>\n",
       "      <th>phase</th>\n",
       "      <th>type</th>\n",
       "      <th>time_millis</th>\n",
       "      <th>time_label</th>\n",
       "      <th>time_gmtOffset</th>\n",
       "      <th>score_homeScore</th>\n",
       "      <th>score_awayScore</th>\n",
       "      <th>id</th>\n",
       "      <th>personId</th>\n",
       "      <th>teamId</th>\n",
       "      <th>assistId</th>\n",
       "      <th>description</th>\n",
       "      <th>match_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>00'00</td>\n",
       "      <td>1</td>\n",
       "      <td>PS</td>\n",
       "      <td>1.120481e+12</td>\n",
       "      <td>4 July 2005, 13:47</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300</td>\n",
       "      <td>05'00</td>\n",
       "      <td>1</td>\n",
       "      <td>G</td>\n",
       "      <td>1.120482e+12</td>\n",
       "      <td>4 July 2005, 13:52</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5106.0</td>\n",
       "      <td>1037.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>G</td>\n",
       "      <td>1875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2700</td>\n",
       "      <td>45'00</td>\n",
       "      <td>1</td>\n",
       "      <td>PE</td>\n",
       "      <td>1.120481e+12</td>\n",
       "      <td>4 July 2005, 13:47</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2700</td>\n",
       "      <td>45'00</td>\n",
       "      <td>2</td>\n",
       "      <td>PS</td>\n",
       "      <td>1.120481e+12</td>\n",
       "      <td>4 July 2005, 13:47</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3840</td>\n",
       "      <td>64'00</td>\n",
       "      <td>2</td>\n",
       "      <td>S</td>\n",
       "      <td>1.120482e+12</td>\n",
       "      <td>4 July 2005, 14:06</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5097.0</td>\n",
       "      <td>1087.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ON</td>\n",
       "      <td>1875</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   clock_secs clock_label  phase type   time_millis          time_label  \\\n",
       "0           0       00'00      1   PS  1.120481e+12  4 July 2005, 13:47   \n",
       "1         300       05'00      1    G  1.120482e+12  4 July 2005, 13:52   \n",
       "2        2700       45'00      1   PE  1.120481e+12  4 July 2005, 13:47   \n",
       "3        2700       45'00      2   PS  1.120481e+12  4 July 2005, 13:47   \n",
       "4        3840       64'00      2    S  1.120482e+12  4 July 2005, 14:06   \n",
       "\n",
       "   time_gmtOffset  score_homeScore  score_awayScore      id  personId  teamId  \\\n",
       "0             1.0                0                0     NaN       NaN     NaN   \n",
       "1             1.0                0                1  5106.0    1037.0     7.0   \n",
       "2             1.0                0                1     NaN       NaN     NaN   \n",
       "3             1.0                0                1     NaN       NaN     NaN   \n",
       "4             1.0                0                1  5097.0    1087.0    15.0   \n",
       "\n",
       "   assistId description  match_id  \n",
       "0       NaN         NaN      1875  \n",
       "1     179.0           G      1875  \n",
       "2       NaN         NaN      1875  \n",
       "3       NaN         NaN      1875  \n",
       "4       NaN          ON      1875  "
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_events.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Columns renaming"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:29.274985Z",
     "start_time": "2021-07-24T20:03:29.211615Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>clock_label</th>\n",
       "      <th>phase</th>\n",
       "      <th>type</th>\n",
       "      <th>home_team_score</th>\n",
       "      <th>away_team_score</th>\n",
       "      <th>player_id</th>\n",
       "      <th>team_id</th>\n",
       "      <th>assist_id</th>\n",
       "      <th>description</th>\n",
       "      <th>match_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>00'00</td>\n",
       "      <td>1</td>\n",
       "      <td>PS</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>05'00</td>\n",
       "      <td>1</td>\n",
       "      <td>G</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1037.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>G</td>\n",
       "      <td>1875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>45'00</td>\n",
       "      <td>1</td>\n",
       "      <td>PE</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>45'00</td>\n",
       "      <td>2</td>\n",
       "      <td>PS</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>64'00</td>\n",
       "      <td>2</td>\n",
       "      <td>S</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1087.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ON</td>\n",
       "      <td>1875</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  clock_label  phase type  home_team_score  away_team_score  player_id  \\\n",
       "0       00'00      1   PS                0                0        NaN   \n",
       "1       05'00      1    G                0                1     1037.0   \n",
       "2       45'00      1   PE                0                1        NaN   \n",
       "3       45'00      2   PS                0                1        NaN   \n",
       "4       64'00      2    S                0                1     1087.0   \n",
       "\n",
       "   team_id  assist_id description  match_id  \n",
       "0      NaN        NaN         NaN      1875  \n",
       "1      7.0      179.0           G      1875  \n",
       "2      NaN        NaN         NaN      1875  \n",
       "3      NaN        NaN         NaN      1875  \n",
       "4     15.0        NaN          ON      1875  "
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating a list of unnecessary variables\n",
    "unuseful_features = [\"time_gmtOffset\", \"id\", \"time_millis\", \"time_label\", \"clock_secs\"]\n",
    "\n",
    "\n",
    "# Removing thoses variables\n",
    "for col in df_events.columns:\n",
    "    if col in unuseful_features:\n",
    "        try:\n",
    "            df_events.drop(col, axis=1, inplace=True)\n",
    "        except:\n",
    "            ...\n",
    "\n",
    "            \n",
    "# Creating a list of new names\n",
    "replace = {\n",
    "    \"score_homeScore\": \"home_team_score\",\n",
    "    \"score_awayScore\": \"away_team_score\",\n",
    "    \"personId\": \"player_id\",\n",
    "    \"teamId\": \"team_id\", \n",
    "    \"assistId\": \"assist_id\",\n",
    "    \"Match ID\": \"match_id\"}\n",
    "\n",
    "\n",
    "# Renaming columns\n",
    "df_events.rename(columns=replace, inplace=True)\n",
    "\n",
    "df_events.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Describe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:29.344707Z",
     "start_time": "2021-07-24T20:03:29.275655Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>clock_label</th>\n",
       "      <th>phase</th>\n",
       "      <th>type</th>\n",
       "      <th>home_team_score</th>\n",
       "      <th>away_team_score</th>\n",
       "      <th>player_id</th>\n",
       "      <th>team_id</th>\n",
       "      <th>assist_id</th>\n",
       "      <th>description</th>\n",
       "      <th>match_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>205567</td>\n",
       "      <td>205567.00</td>\n",
       "      <td>205567</td>\n",
       "      <td>205567.00</td>\n",
       "      <td>205567.00</td>\n",
       "      <td>169365.00</td>\n",
       "      <td>169411.00</td>\n",
       "      <td>20337.00</td>\n",
       "      <td>169408</td>\n",
       "      <td>205567.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>117</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>45'00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ON</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>21375</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103290</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51645</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.78</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.06</td>\n",
       "      <td>0.79</td>\n",
       "      <td>3723.39</td>\n",
       "      <td>20.65</td>\n",
       "      <td>3182.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11261.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.12</td>\n",
       "      <td>0.96</td>\n",
       "      <td>5476.20</td>\n",
       "      <td>20.72</td>\n",
       "      <td>4527.53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14506.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1195.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>844.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3261.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2437.00</td>\n",
       "      <td>19.00</td>\n",
       "      <td>2063.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5939.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>4135.00</td>\n",
       "      <td>28.00</td>\n",
       "      <td>3929.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9858.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.00</td>\n",
       "      <td>9.00</td>\n",
       "      <td>111987.00</td>\n",
       "      <td>159.00</td>\n",
       "      <td>71432.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59275.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       clock_label      phase    type  home_team_score  away_team_score  \\\n",
       "count       205567  205567.00  205567        205567.00        205567.00   \n",
       "unique         117        NaN       9              NaN              NaN   \n",
       "top          45'00        NaN       S              NaN              NaN   \n",
       "freq         21375        NaN  103290              NaN              NaN   \n",
       "mean           NaN       1.78     NaN             1.06             0.79   \n",
       "std            NaN       0.42     NaN             1.12             0.96   \n",
       "min            NaN       1.00     NaN             0.00             0.00   \n",
       "25%            NaN       2.00     NaN             0.00             0.00   \n",
       "50%            NaN       2.00     NaN             1.00             1.00   \n",
       "75%            NaN       2.00     NaN             2.00             1.00   \n",
       "max            NaN       2.00     NaN             9.00             9.00   \n",
       "\n",
       "        player_id    team_id  assist_id description   match_id  \n",
       "count   169365.00  169411.00   20337.00      169408  205567.00  \n",
       "unique        NaN        NaN        NaN          10        NaN  \n",
       "top           NaN        NaN        NaN          ON        NaN  \n",
       "freq          NaN        NaN        NaN       51645        NaN  \n",
       "mean      3723.39      20.65    3182.21         NaN   11261.83  \n",
       "std       5476.20      20.72    4527.53         NaN   14506.67  \n",
       "min          1.00       1.00       1.00         NaN       1.00  \n",
       "25%       1195.00       7.00     844.00         NaN    3261.00  \n",
       "50%       2437.00      19.00    2063.00         NaN    5939.00  \n",
       "75%       4135.00      28.00    3929.00         NaN    9858.00  \n",
       "max     111987.00     159.00   71432.00         NaN   59275.00  "
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_events.describe(include=\"all\").round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Infos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:29.364108Z",
     "start_time": "2021-07-24T20:03:29.345433Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 205567 entries, 0 to 205566\n",
      "Data columns (total 10 columns):\n",
      " #   Column           Non-Null Count   Dtype  \n",
      "---  ------           --------------   -----  \n",
      " 0   clock_label      205567 non-null  object \n",
      " 1   phase            205567 non-null  int64  \n",
      " 2   type             205567 non-null  object \n",
      " 3   home_team_score  205567 non-null  int64  \n",
      " 4   away_team_score  205567 non-null  int64  \n",
      " 5   player_id        169365 non-null  float64\n",
      " 6   team_id          169411 non-null  float64\n",
      " 7   assist_id        20337 non-null   float64\n",
      " 8   description      169408 non-null  object \n",
      " 9   match_id         205567 non-null  int64  \n",
      "dtypes: float64(3), int64(4), object(3)\n",
      "memory usage: 15.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df_events.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:29.382383Z",
     "start_time": "2021-07-24T20:03:29.364768Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>missing_val_count</th>\n",
       "      <th>missing_val_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>player_id</th>\n",
       "      <td>36202</td>\n",
       "      <td>17.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>team_id</th>\n",
       "      <td>36156</td>\n",
       "      <td>17.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>assist_id</th>\n",
       "      <td>185230</td>\n",
       "      <td>90.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>description</th>\n",
       "      <td>36159</td>\n",
       "      <td>17.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             missing_val_count  missing_val_percent\n",
       "player_id                36202                 17.6\n",
       "team_id                  36156                 17.6\n",
       "assist_id               185230                 90.1\n",
       "description              36159                 17.6"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "missing(df_events)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:31.203102Z",
     "start_time": "2021-07-24T20:03:29.383027Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1440x648 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "klib.missingval_plot(df_events, figsize=(20, 9));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There features have almost the exact same number of  missing values and it looks like they are at the same indexes. What are those events? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:31.562677Z",
     "start_time": "2021-07-24T20:03:31.203767Z"
    }
   },
   "outputs": [],
   "source": [
    "# Lowering all \n",
    "for col in df_events.columns:\n",
    "    df_events[col] = df_events[col].apply(lambda x: x.lower() if type(x)==str else x)\n",
    "\n",
    "# Replacing abbreviation for better understanding\n",
    "typee = {\"s\": \"substitution\",\n",
    "         \"b\": \"card\",\n",
    "         \"g\": \"goal\",\n",
    "         \"pe\": \"play_end\",\n",
    "         \"ps\": \"play_start\",\n",
    "         \"p\": \"goal\", \n",
    "         \"o\": \"own_goal\",\n",
    "         \"sp\": \"penalty_saved\",\n",
    "         \"mp\": \"penalty_missed\"} \n",
    "\n",
    "description = {\n",
    "    \"y\": \"yellow_card\",\n",
    "    \"r\": \"red_card\",\n",
    "    \"yr\": \"2y_red_card\",\n",
    "    \"g\": \"goal\",\n",
    "    \"o\": \"own_goal\",\n",
    "    \"p\": \"penalty\", \n",
    "    \"on\": \"sub_on\", \n",
    "    \"off\": \"sub_off\",\n",
    "    \"sp\": \"penalty_saved\",\n",
    "    \"mp\": \"penalty_missed\"}\n",
    "\n",
    "\n",
    "df_events[\"description\"].replace(description, inplace=True)\n",
    "df_events[\"type\"].replace(typee, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:31.571372Z",
     "start_time": "2021-07-24T20:03:31.563326Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "play_start      18078\n",
       "play_end        18078\n",
       "substitution       40\n",
       "card                6\n",
       "Name: type, dtype: int64"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_events[df_events[\"player_id\"].isna()][\"type\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Play start & play end** \n",
    "\n",
    "There are missing values for the events `play_start` et `play_end` which is normal as it doesn't involve any player, any team and there are no corresponding description for it."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Subsitution**\n",
    "\n",
    "It's definitely that but there are still 40 `s` missing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:31.586338Z",
     "start_time": "2021-07-24T20:03:31.572129Z"
    }
   },
   "outputs": [],
   "source": [
    "missing_sub = df_events[(df_events[\"player_id\"].isna()) & (df_events[\"type\"]==\"substitution\")]\n",
    "indexes = missing_sub[missing_sub[\"description\"]==\"sub_on\"].index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The 40 `substitution` missing are mostly players that never came in. When a player is substituted, a player is supposed to come on the pitch but here, nobody came in as the [game's page](https://www.premierleague.com/match/8224) of most games shows when you hover your mouse over `90+` on the time line. The reason why there are missing values is that I guess, as everything is automated, when a player goes out, a new data entry is automatically generated for the player in but as nobody came in there are missing values. We can drop them, they are irrelevant.\n",
    "For the three others where it's written `sub_off`, the id of the player who came on the pitch has not been recorded so 'ill add it manually by finding the player name on [match en direct](matchendirect.fr) (French website with live football)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:31.603116Z",
     "start_time": "2021-07-24T20:03:31.587294Z"
    }
   },
   "outputs": [],
   "source": [
    "# Dropping sub_on rows\n",
    "df_events.drop(indexes, inplace=True)\n",
    "\n",
    "\n",
    "# Adding player_id\n",
    "df_events.loc[6261, \"player_id\"] = 305\n",
    "df_events.loc[168355, \"player_id\"] = 21731\n",
    "df_events.loc[169988, \"player_id\"] = 21731"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Card**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:31.614273Z",
     "start_time": "2021-07-24T20:03:31.604332Z"
    }
   },
   "outputs": [],
   "source": [
    "indexes = df_events[(df_events[\"player_id\"].isna()) & (df_events[\"type\"]==\"card\")].index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-04T20:50:29.643828Z",
     "start_time": "2021-07-04T20:50:29.640035Z"
    }
   },
   "source": [
    "After some research, I found out that they are just forgotten players. Thanks again to [match en direct](https://www.matchendirect.fr/f), I found out that those events are not correct and nothing happened at this time in the game. No card was given. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:31.625865Z",
     "start_time": "2021-07-24T20:03:31.614945Z"
    }
   },
   "outputs": [],
   "source": [
    "df_events.drop(indexes, axis=0, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Description**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:31.658940Z",
     "start_time": "2021-07-24T20:03:31.630667Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>clock_label</th>\n",
       "      <th>phase</th>\n",
       "      <th>type</th>\n",
       "      <th>home_team_score</th>\n",
       "      <th>away_team_score</th>\n",
       "      <th>player_id</th>\n",
       "      <th>team_id</th>\n",
       "      <th>assist_id</th>\n",
       "      <th>description</th>\n",
       "      <th>match_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>92273</th>\n",
       "      <td>45'00</td>\n",
       "      <td>2</td>\n",
       "      <td>card</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>712.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186513</th>\n",
       "      <td>45'00</td>\n",
       "      <td>2</td>\n",
       "      <td>card</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1461.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203603</th>\n",
       "      <td>45'00</td>\n",
       "      <td>2</td>\n",
       "      <td>card</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>798.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>923</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       clock_label  phase  type  home_team_score  away_team_score  player_id  \\\n",
       "92273        45'00      2  card                0                0      712.0   \n",
       "186513       45'00      2  card                0                1     1461.0   \n",
       "203603       45'00      2  card                1                1      798.0   \n",
       "\n",
       "        team_id  assist_id description  match_id  \n",
       "92273      20.0        NaN         NaN      1581  \n",
       "186513     20.0        NaN         NaN      2221  \n",
       "203603     25.0        NaN         NaN       923  "
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "indexes = df_events[(df_events[\"description\"].isna()) & (df_events[\"type\"]==\"card\")].index\n",
    "df_events[(df_events[\"description\"].isna()) & (df_events[\"type\"]==\"card\")]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After doing some research, I found out, again that those where errors and nothing happened at those times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:31.672330Z",
     "start_time": "2021-07-24T20:03:31.659633Z"
    }
   },
   "outputs": [],
   "source": [
    "df_events.drop(indexes, axis=0, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Missing values**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:31.690804Z",
     "start_time": "2021-07-24T20:03:31.672908Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>missing_val_count</th>\n",
       "      <th>missing_val_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>player_id</th>\n",
       "      <td>36159</td>\n",
       "      <td>17.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>team_id</th>\n",
       "      <td>36156</td>\n",
       "      <td>17.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>assist_id</th>\n",
       "      <td>185184</td>\n",
       "      <td>90.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>description</th>\n",
       "      <td>36156</td>\n",
       "      <td>17.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             missing_val_count  missing_val_percent\n",
       "player_id                36159                 17.6\n",
       "team_id                  36156                 17.6\n",
       "assist_id               185184                 90.1\n",
       "description              36156                 17.6"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "missing(df_events)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alright, the others missing values for the top three rows come from the play_end and play_start so it's normal and `assist_id` comes from the fact that it needs a goal to be filled by player id (the one who did the last pass to the scorer). Among the `36160` missing values, half of it for the start of the first half of the game and the second half for the start of the second one. However, for each game, there are two starts and two ends. the thing is that 36k/4 is not equal to the total number of games in df_games so there are some games which don't have play_start and play_end. \n",
    "\n",
    "**play_start, play_end**\n",
    "\n",
    "After digging down into the dataset I found out that some games, around 2,000 didn't have either play start or play end. This might b e a ploblem later if I decide to calculate something on it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +8'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +8'00\n",
      "90 +10'00\n",
      "90 +10'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "45 +6'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "45 +7'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +6'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +6'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +1'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +7'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +10'00\n",
      "90 +10'00\n",
      "90 +18'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +9'00\n",
      "45 +9'00\n",
      "45 +10'00\n",
      "45 +11'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +10'00\n",
      "45 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +9'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +8'00\n",
      "90 +8'00\n",
      "90 +9'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "90 +9'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +9'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +2'00\n",
      "45 +5'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +7'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "45 +5'00\n",
      "90 +7'00\n",
      "45 +10'00\n",
      "45 +11'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +7'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +32'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +10'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +8'00\n",
      "90 +8'00\n",
      "90 +10'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +8'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "45 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "90 +9'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +10'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "45 +7'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +6'00\n",
      "45 +9'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +6'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +10'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +9'00\n",
      "90 +10'00\n",
      "90 +10'00\n",
      "90 +11'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +9'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "45 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +7'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +7'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +8'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +6'00\n",
      "90 +13'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +8'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +7'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "45 +5'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +9'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +7'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +9'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +10'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +7'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +9'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "45 +6'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "90 +9'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +12'00\n",
      "90 +12'00\n",
      "90 +13'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +10'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +9'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +11'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +6'00\n",
      "45 +9'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +8'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +9'00\n",
      "90 +10'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +8'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "90 +8'00\n",
      "90 +9'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +8'00\n",
      "90 +9'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +9'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +6'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +8'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +12'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +10'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +6'00\n",
      "45 +7'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +8'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +8'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +9'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +10'00\n",
      "90 +10'00\n",
      "90 +11'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "45 +6'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +5'00\n",
      "45 +6'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +6'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "45 +7'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "45 +7'00\n",
      "45 +7'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +9'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +7'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "45 +7'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "90 +9'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +8'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "90 +9'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "45 +7'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +5'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +8'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +7'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +8'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +10'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +7'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +8'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "90 +8'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +8'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +6'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +9'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "45 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +8'00\n",
      "45 +5'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +9'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +7'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +7'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +8'00\n",
      "90 +9'00\n",
      "90 +12'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +11'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +8'00\n",
      "90 +9'00\n",
      "90 +10'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "90 +9'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "90 +9'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "45 +8'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +8'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +6'00\n",
      "45 +6'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +7'00\n",
      "90 +8'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +11'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "45 +8'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +7'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "90 +8'00\n",
      "90 +9'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "45 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +11'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +9'00\n",
      "45 +9'00\n",
      "45 +10'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +9'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "90 +12'00\n",
      "90 +12'00\n",
      "90 +13'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +13'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "45 +6'00\n",
      "45 +7'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +9'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +8'00\n",
      "90 +8'00\n",
      "90 +10'00\n",
      "90 +10'00\n",
      "90 +12'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +9'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +8'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +6'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +8'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +5'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +8'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +10'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +8'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "90 +9'00\n",
      "90 +9'00\n",
      "90 +10'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +8'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +8'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +9'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +6'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "45 +7'00\n",
      "45 +10'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +8'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +8'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +12'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +11'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "45 +5'00\n",
      "45 +6'00\n",
      "45 +6'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +8'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +9'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +9'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +8'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +8'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +5'00\n",
      "45 +6'00\n",
      "45 +9'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +5'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "45 +7'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +8'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +1'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "45 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "45 +5'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +13'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "45 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +6'00\n",
      "45 +6'00\n",
      "45 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "45 +4'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +8'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "45 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +6'00\n",
      "45 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +1'00\n",
      "45 +2'00\n",
      "45 +4'00\n",
      "90 +3'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +8'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "45 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "90 +6'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +7'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +2'00\n",
      "45 +7'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +7'00\n",
      "45 +1'00\n",
      "90 +2'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +6'00\n",
      "90 +6'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "90 +1'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +4'00\n",
      "45 +4'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +1'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "90 +5'00\n",
      "45 +4'00\n",
      "90 +7'00\n",
      "45 +3'00\n",
      "90 +6'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +1'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +5'00\n",
      "45 +2'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "90 +5'00\n",
      "45 +3'00\n",
      "45 +3'00\n",
      "45 +5'00\n",
      "90 +4'00\n",
      "90 +4'00\n",
      "45 +5'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +2'00\n",
      "90 +3'00\n",
      "45 +3'00\n",
      "90 +3'00\n",
      "45 +2'00\n",
      "90 +1'00\n",
      "90 +1'00\n",
      "90 +5'00\n",
      "45 +1'00\n",
      "45 +3'00\n",
      "90 +4'00\n",
      "45 +2'00\n",
      "90 +6'00\n",
      "90 +2'00\n",
      "90 +2'00\n",
      "45 +2'00\n",
      "90 +3'00\n",
      "90 +5'00\n",
      "90 +7'00\n",
      "90 +8'00\n",
      "90 +9'00\n",
      "45 +1'00\n",
      "90 +5'00\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0         None\n",
       "1         None\n",
       "2         None\n",
       "3         None\n",
       "4         None\n",
       "          ... \n",
       "205562    None\n",
       "205563    None\n",
       "205564    None\n",
       "205565    None\n",
       "205566    None\n",
       "Name: clock_label, Length: 205521, dtype: object"
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def d (x):\n",
    "    try: int(x.split(\"'\")[0]) if pd.notna(x) and \"+\" in x else 0\n",
    "    except: print(x)\n",
    "\n",
    "\n",
    "df_events[\"clock_label\"].apply(lambda x: d(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:32.922091Z",
     "start_time": "2021-07-24T20:03:31.691546Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2227/2227 [00:00<00:00, 2501.92it/s]\n"
     ]
    }
   ],
   "source": [
    "# Formatting time to have it as integer\n",
    "df_events[\"add_time\"] = df_events[\"clock_label\"].apply(lambda x: int(x.split(\"+\")[1].split(\"'\")[0]) if \"+\" in x else 0)\n",
    "df_events[\"clock_label\"] = df_events[\"clock_label\"].apply(lambda x: int(x[:2]))\n",
    "\n",
    "#new\n",
    "# df_events[\"add_time\"] = df_events[\"clock_label\"].apply(lambda x: int(x.split(\"+\")[1].split(\"'\")[0]) if pd.notna(x) or \"+\" in x else 0)\n",
    "# df_events[\"clock_label\"] = df_events[\"clock_label\"].apply(lambda x: int(x[:2]) if pd.notna(x) else 0)\n",
    "\n",
    "# collecting missing values\n",
    "missing_ids = set(df_games[\"match_id\"].unique()) - set(df_events[df_events[\"type\"]==\"play_end\"][\"match_id\"].unique())\n",
    "missing_ids = list(missing_ids)\n",
    "\n",
    "to_add = []\n",
    "for missing_id in tqdm(missing_ids):\n",
    "\n",
    "    sub = df_events[df_events[\"match_id\"]==missing_id]\n",
    "\n",
    "    # If there is an error, then there was no event meaning score: 0-0\n",
    "    try:\n",
    "        ht_score = sub[sub[\"clock_label\"]<46].iloc[-1, 3:5]\n",
    "    except IndexError: ht_score = [0, 0] \n",
    "        \n",
    "    ft_score = sub.iloc[-1, 3:5]\n",
    "\n",
    "    to_add.extend([[0, 1, \"play_start\", 0, 0] + [np.nan]*4 + [missing_id, 0], \n",
    "                   [45, 1, \"play_end\", ht_score[0], ht_score[1]] + [np.nan]*4 + [missing_id, 0], \n",
    "                   [45, 2, \"play_start\", ht_score[0], ht_score[1]] + [np.nan]*4 + [missing_id, 0], \n",
    "                   [90, 2, \"play_end\", ft_score[0], ft_score[1]] + [np.nan]*4 + [missing_id, 0]])\n",
    "\n",
    "\n",
    "to_add = pd.DataFrame(to_add, columns=df_events.columns)\n",
    "df_events = pd.concat([df_events, to_add], axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:32.935348Z",
     "start_time": "2021-07-24T20:03:32.922891Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "play_start      22532\n",
       "play_end        22532\n",
       "substitution        3\n",
       "Name: type, dtype: int64"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_events[df_events[\"player_id\"].isna()][\"type\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Awesome! There are now `22534` missing values for play_start and end which corresponds to twice the number of games ever in PL."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding outcome "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:32.937798Z",
     "start_time": "2021-07-24T20:03:32.936069Z"
    }
   },
   "outputs": [],
   "source": [
    "# df_events[\"outcome\"] = df_events[[\"home_team_score\", \"away_team_score\"]]\\\n",
    "#     .apply(lambda x: (\"h\" if x[\"home_team_score\"] > x[\"away_team_score\"] else \"a\") \\\n",
    "#            if x[\"home_team_score\"] != x[\"away_team_score\"] else \"d\",\n",
    "#            axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-03T09:23:21.931516Z",
     "start_time": "2021-07-03T09:23:21.894688Z"
    }
   },
   "source": [
    "## Players"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:32.946550Z",
     "start_time": "2021-07-24T20:03:32.938436Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>matchPosition</th>\n",
       "      <th>matchShirtNumber</th>\n",
       "      <th>captain</th>\n",
       "      <th>playerId</th>\n",
       "      <th>info_position</th>\n",
       "      <th>info_positionInfo</th>\n",
       "      <th>nationalTeam_isoCode</th>\n",
       "      <th>nationalTeam_country</th>\n",
       "      <th>nationalTeam_demonym</th>\n",
       "      <th>birth_date_millis</th>\n",
       "      <th>birth_date_label</th>\n",
       "      <th>birth_country_isoCode</th>\n",
       "      <th>birth_country_country</th>\n",
       "      <th>birth_country_demonym</th>\n",
       "      <th>age</th>\n",
       "      <th>name_display</th>\n",
       "      <th>name_first</th>\n",
       "      <th>name_last</th>\n",
       "      <th>id</th>\n",
       "      <th>altIds_opta</th>\n",
       "      <th>substitute</th>\n",
       "      <th>team_id</th>\n",
       "      <th>info_shirtNum</th>\n",
       "      <th>name_middle</th>\n",
       "      <th>substit ute</th>\n",
       "      <th>birth_place</th>\n",
       "      <th>match_id</th>\n",
       "      <th>info_loan</th>\n",
       "      <th>nationalTeam</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>D</td>\n",
       "      <td>99.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>D</td>\n",
       "      <td>Defender</td>\n",
       "      <td>DE</td>\n",
       "      <td>Germany</td>\n",
       "      <td>German</td>\n",
       "      <td>40780800000</td>\n",
       "      <td>18 April 1971</td>\n",
       "      <td>DE</td>\n",
       "      <td>Germany</td>\n",
       "      <td>German</td>\n",
       "      <td>29 years 202 days</td>\n",
       "      <td>Stefan Schnoor</td>\n",
       "      <td>Stefan</td>\n",
       "      <td>Schnoor</td>\n",
       "      <td>1545</td>\n",
       "      <td>p1667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3405</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M</td>\n",
       "      <td>99.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>M</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>IE</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>Irish</td>\n",
       "      <td>205459200000</td>\n",
       "      <td>6 July 1976</td>\n",
       "      <td>IE</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>Irish</td>\n",
       "      <td>24 years 123 days</td>\n",
       "      <td>Rory Delap</td>\n",
       "      <td>Rory</td>\n",
       "      <td>Delap</td>\n",
       "      <td>1391</td>\n",
       "      <td>p1679</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3405</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M</td>\n",
       "      <td>99.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>M</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>JM</td>\n",
       "      <td>Jamaica</td>\n",
       "      <td>Jamaican</td>\n",
       "      <td>32745600000</td>\n",
       "      <td>15 January 1971</td>\n",
       "      <td>GB-ENG</td>\n",
       "      <td>England</td>\n",
       "      <td>English</td>\n",
       "      <td>29 years 296 days</td>\n",
       "      <td>Darryl Powell</td>\n",
       "      <td>Darryl</td>\n",
       "      <td>Powell</td>\n",
       "      <td>1177</td>\n",
       "      <td>p1669</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3405</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>G</td>\n",
       "      <td>99.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>G</td>\n",
       "      <td>Goalkeeper</td>\n",
       "      <td>EE</td>\n",
       "      <td>Estonia</td>\n",
       "      <td>Estonian</td>\n",
       "      <td>65923200000</td>\n",
       "      <td>3 February 1972</td>\n",
       "      <td>EE</td>\n",
       "      <td>Estonia</td>\n",
       "      <td>Estonian</td>\n",
       "      <td>28 years 277 days</td>\n",
       "      <td>Mart Poom</td>\n",
       "      <td>Mart</td>\n",
       "      <td>Poom</td>\n",
       "      <td>1161</td>\n",
       "      <td>p1701</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3405</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M</td>\n",
       "      <td>99.0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>M</td>\n",
       "      <td>Midfielder</td>\n",
       "      <td>GB-SCT</td>\n",
       "      <td>Scotland</td>\n",
       "      <td>Scottish</td>\n",
       "      <td>54518400000</td>\n",
       "      <td>24 September 1971</td>\n",
       "      <td>GB-SCT</td>\n",
       "      <td>Scotland</td>\n",
       "      <td>Scottish</td>\n",
       "      <td>29 years 43 days</td>\n",
       "      <td>Craig Burley</td>\n",
       "      <td>Craig</td>\n",
       "      <td>Burley</td>\n",
       "      <td>109</td>\n",
       "      <td>p2172</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3405</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  matchPosition  matchShirtNumber  captain  playerId info_position  \\\n",
       "0             D              99.0    False         0             D   \n",
       "1             M              99.0    False         0             M   \n",
       "2             M              99.0    False         0             M   \n",
       "3             G              99.0    False         0             G   \n",
       "4             M              99.0    False         0             M   \n",
       "\n",
       "  info_positionInfo nationalTeam_isoCode nationalTeam_country  \\\n",
       "0          Defender                   DE              Germany   \n",
       "1        Midfielder                   IE              Ireland   \n",
       "2        Midfielder                   JM              Jamaica   \n",
       "3        Goalkeeper                   EE              Estonia   \n",
       "4        Midfielder               GB-SCT             Scotland   \n",
       "\n",
       "  nationalTeam_demonym  birth_date_millis   birth_date_label  \\\n",
       "0               German        40780800000      18 April 1971   \n",
       "1                Irish       205459200000        6 July 1976   \n",
       "2             Jamaican        32745600000    15 January 1971   \n",
       "3             Estonian        65923200000    3 February 1972   \n",
       "4             Scottish        54518400000  24 September 1971   \n",
       "\n",
       "  birth_country_isoCode birth_country_country birth_country_demonym  \\\n",
       "0                    DE               Germany                German   \n",
       "1                    IE               Ireland                 Irish   \n",
       "2                GB-ENG               England               English   \n",
       "3                    EE               Estonia              Estonian   \n",
       "4                GB-SCT              Scotland              Scottish   \n",
       "\n",
       "                 age    name_display name_first name_last    id altIds_opta  \\\n",
       "0  29 years 202 days  Stefan Schnoor     Stefan   Schnoor  1545       p1667   \n",
       "1  24 years 123 days      Rory Delap       Rory     Delap  1391       p1679   \n",
       "2  29 years 296 days   Darryl Powell     Darryl    Powell  1177       p1669   \n",
       "3  28 years 277 days       Mart Poom       Mart      Poom  1161       p1701   \n",
       "4   29 years 43 days    Craig Burley      Craig    Burley   109       p2172   \n",
       "\n",
       "   substitute  team_id  info_shirtNum name_middle  substit ute birth_place  \\\n",
       "0         0.0       28            NaN         NaN          NaN         NaN   \n",
       "1         0.0       28            NaN         NaN          NaN         NaN   \n",
       "2         0.0       28            NaN         NaN          NaN         NaN   \n",
       "3         0.0       28            NaN         NaN          NaN         NaN   \n",
       "4         0.0       28            NaN         NaN          NaN         NaN   \n",
       "\n",
       "   match_id info_loan nationalTeam  \n",
       "0      3405       NaN          NaN  \n",
       "1      3405       NaN          NaN  \n",
       "2      3405       NaN          NaN  \n",
       "3      3405       NaN          NaN  \n",
       "4      3405       NaN          NaN  "
      ]
     },
     "execution_count": 228,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_players.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-05T01:10:37.129776Z",
     "start_time": "2021-07-05T01:10:37.098277Z"
    }
   },
   "source": [
    "### Columns renaming"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:34.841682Z",
     "start_time": "2021-07-24T20:03:32.947278Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape: 346,927/17 | Unique players: 4,863\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_position</th>\n",
       "      <th>player_number</th>\n",
       "      <th>captain</th>\n",
       "      <th>normal_position</th>\n",
       "      <th>full_position</th>\n",
       "      <th>nateam</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_country_isoCode</th>\n",
       "      <th>birth_country</th>\n",
       "      <th>age</th>\n",
       "      <th>player_name</th>\n",
       "      <th>player_id</th>\n",
       "      <th>substitute</th>\n",
       "      <th>team_id</th>\n",
       "      <th>substit ute</th>\n",
       "      <th>match_id</th>\n",
       "      <th>info_loan</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>d</td>\n",
       "      <td>99.0</td>\n",
       "      <td>False</td>\n",
       "      <td>d</td>\n",
       "      <td>defender</td>\n",
       "      <td>germany</td>\n",
       "      <td>18 april 1971</td>\n",
       "      <td>de</td>\n",
       "      <td>germany</td>\n",
       "      <td>29 years 202 days</td>\n",
       "      <td>stefan schnoor</td>\n",
       "      <td>1545</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3405</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  match_position  player_number  captain normal_position full_position  \\\n",
       "0              d           99.0    False               d      defender   \n",
       "\n",
       "    nateam     birth_date birth_country_isoCode birth_country  \\\n",
       "0  germany  18 april 1971                    de       germany   \n",
       "\n",
       "                 age     player_name  player_id  substitute  team_id  \\\n",
       "0  29 years 202 days  stefan schnoor       1545         0.0       28   \n",
       "\n",
       "   substit ute  match_id info_loan  \n",
       "0          NaN      3405       NaN  "
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for col in df_players.columns:\n",
    "    df_players[col] = df_players[col].apply(lambda x: x.lower() if type(x)==str else x)\n",
    "\n",
    "# Creating a list of unnecessary variables\n",
    "unuseful_features = [\"nationalTeam_demonym\", \"birth_date_millis\", \"playerId\", \n",
    "                    \"birth_country_demonym\", \"name_first\", \"name_last\", \"altIds_opta\", \"name_middle\", \n",
    "                    \"nationalTeam\", \"nationalTeam_isoCode\", \n",
    "                     \"birth_place\", \"name_middle\", \"info_shirtNum\"]\n",
    "\n",
    "\n",
    "# Removing thoses variables\n",
    "for col in unuseful_features:\n",
    "    try:\n",
    "        df_players.drop(col, axis=1, inplace=True)\n",
    "    except:\n",
    "        ...\n",
    "\n",
    "            \n",
    "# Creating a list of new names       \n",
    "replace = {\"score_homeScore\": \"home_team_score\", \n",
    "          \"matchPosition\": \"match_position\", \n",
    "          \"playerId\": \"player_id\", \n",
    "          \"nationalTeam_country\": \"nateam\", \n",
    "          \"birth_country_country\": \"birth_country\", \n",
    "          \"birth_date_label\": \"birth_date\", \n",
    "          \"name_display\": \"player_name\", \n",
    "          \"id\": \"player_id\", \n",
    "           \"info_position\": \"normal_position\",\n",
    "          \"info_positionInfo\": \"full_position\", \n",
    "          \"Match ID\": \"match_id\", \n",
    "          \"matchShirtNumber\": \"player_number\"}\n",
    "\n",
    "\n",
    "# Renaming columns\n",
    "df_players.rename(columns=replace, inplace=True)\n",
    "\n",
    "nb_players = len(set(df_players[\"player_id\"]))\n",
    "print(f\"Shape: {df_players.shape[0]:,}/{df_players.shape[1]} | Unique players: {nb_players:,}\")\n",
    "df_players.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Table splitting \n",
    "\n",
    "As df_players is redundant, I'm going to divide it into two dataframes: \n",
    "* df_players_infos: containing all individual players informations \n",
    "* df_lineup: containing all players lined up for all games "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:34.849541Z",
     "start_time": "2021-07-24T20:03:34.842454Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_position</th>\n",
       "      <th>player_number</th>\n",
       "      <th>captain</th>\n",
       "      <th>normal_position</th>\n",
       "      <th>full_position</th>\n",
       "      <th>nateam</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_country_isoCode</th>\n",
       "      <th>birth_country</th>\n",
       "      <th>age</th>\n",
       "      <th>player_name</th>\n",
       "      <th>player_id</th>\n",
       "      <th>substitute</th>\n",
       "      <th>team_id</th>\n",
       "      <th>substit ute</th>\n",
       "      <th>match_id</th>\n",
       "      <th>info_loan</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>d</td>\n",
       "      <td>99.0</td>\n",
       "      <td>False</td>\n",
       "      <td>d</td>\n",
       "      <td>defender</td>\n",
       "      <td>germany</td>\n",
       "      <td>18 april 1971</td>\n",
       "      <td>de</td>\n",
       "      <td>germany</td>\n",
       "      <td>29 years 202 days</td>\n",
       "      <td>stefan schnoor</td>\n",
       "      <td>1545</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3405</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>m</td>\n",
       "      <td>99.0</td>\n",
       "      <td>False</td>\n",
       "      <td>m</td>\n",
       "      <td>midfielder</td>\n",
       "      <td>ireland</td>\n",
       "      <td>6 july 1976</td>\n",
       "      <td>ie</td>\n",
       "      <td>ireland</td>\n",
       "      <td>24 years 123 days</td>\n",
       "      <td>rory delap</td>\n",
       "      <td>1391</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3405</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>m</td>\n",
       "      <td>99.0</td>\n",
       "      <td>False</td>\n",
       "      <td>m</td>\n",
       "      <td>midfielder</td>\n",
       "      <td>jamaica</td>\n",
       "      <td>15 january 1971</td>\n",
       "      <td>gb-eng</td>\n",
       "      <td>england</td>\n",
       "      <td>29 years 296 days</td>\n",
       "      <td>darryl powell</td>\n",
       "      <td>1177</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3405</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>g</td>\n",
       "      <td>99.0</td>\n",
       "      <td>False</td>\n",
       "      <td>g</td>\n",
       "      <td>goalkeeper</td>\n",
       "      <td>estonia</td>\n",
       "      <td>3 february 1972</td>\n",
       "      <td>ee</td>\n",
       "      <td>estonia</td>\n",
       "      <td>28 years 277 days</td>\n",
       "      <td>mart poom</td>\n",
       "      <td>1161</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3405</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>m</td>\n",
       "      <td>99.0</td>\n",
       "      <td>False</td>\n",
       "      <td>m</td>\n",
       "      <td>midfielder</td>\n",
       "      <td>scotland</td>\n",
       "      <td>24 september 1971</td>\n",
       "      <td>gb-sct</td>\n",
       "      <td>scotland</td>\n",
       "      <td>29 years 43 days</td>\n",
       "      <td>craig burley</td>\n",
       "      <td>109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3405</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  match_position  player_number  captain normal_position full_position  \\\n",
       "0              d           99.0    False               d      defender   \n",
       "1              m           99.0    False               m    midfielder   \n",
       "2              m           99.0    False               m    midfielder   \n",
       "3              g           99.0    False               g    goalkeeper   \n",
       "4              m           99.0    False               m    midfielder   \n",
       "\n",
       "     nateam         birth_date birth_country_isoCode birth_country  \\\n",
       "0   germany      18 april 1971                    de       germany   \n",
       "1   ireland        6 july 1976                    ie       ireland   \n",
       "2   jamaica    15 january 1971                gb-eng       england   \n",
       "3   estonia    3 february 1972                    ee       estonia   \n",
       "4  scotland  24 september 1971                gb-sct      scotland   \n",
       "\n",
       "                 age     player_name  player_id  substitute  team_id  \\\n",
       "0  29 years 202 days  stefan schnoor       1545         0.0       28   \n",
       "1  24 years 123 days      rory delap       1391         0.0       28   \n",
       "2  29 years 296 days   darryl powell       1177         0.0       28   \n",
       "3  28 years 277 days       mart poom       1161         0.0       28   \n",
       "4   29 years 43 days    craig burley        109         0.0       28   \n",
       "\n",
       "   substit ute  match_id info_loan  \n",
       "0          NaN      3405       NaN  \n",
       "1          NaN      3405       NaN  \n",
       "2          NaN      3405       NaN  \n",
       "3          NaN      3405       NaN  \n",
       "4          NaN      3405       NaN  "
      ]
     },
     "execution_count": 230,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_players.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before Splitting the values, I need to change some values of normal position. This column is supposed to be the normal position of the player and not the one he played at during the game. Some players have multiple normal position as it changed during their career as they got better at another position. For that, I will make sure that every player has only one normal position, the most frequent one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:52.855014Z",
     "start_time": "2021-07-24T20:03:34.850328Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4863/4863 [00:01<00:00, 2471.91it/s]\n"
     ]
    }
   ],
   "source": [
    "# replacing all normal position of the most frequent value for each player\n",
    "for pid in tqdm(df_players[\"player_id\"].unique()):\n",
    "    sub = df_players[df_players[\"player_id\"]==pid]\n",
    "    indexes = sub.index\n",
    "    df_players.loc[indexes, \"normal_position\"] = sub[\"normal_position\"].mode().squeeze()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.041538Z",
     "start_time": "2021-07-24T20:03:52.855851Z"
    }
   },
   "outputs": [],
   "source": [
    "# Defining columns for which values will be the same for all games \n",
    "infos_cols = [\"nateam\", \"birth_date\", \"birth_country_isoCode\", \"birth_country\", \n",
    "              \"player_name\", \"player_id\", \"normal_position\"]\n",
    "\n",
    "df_players_info = df_players[infos_cols].drop_duplicates().reset_index(drop=True)\n",
    "\n",
    "\n",
    "lineup_cols = list(set(df_players.columns) - set(infos_cols)) + [\"player_name\", \"player_id\"]\n",
    "df_lineup = df_players[lineup_cols].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-18T17:19:04.259933Z",
     "start_time": "2021-07-18T17:17:55.182020Z"
    }
   },
   "source": [
    "## Players info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.048828Z",
     "start_time": "2021-07-24T20:03:53.042331Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>missing_val_count</th>\n",
       "      <th>missing_val_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>nateam</th>\n",
       "      <td>7</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>birth_country</th>\n",
       "      <td>10</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>normal_position</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 missing_val_count  missing_val_percent\n",
       "nateam                           7                  0.1\n",
       "birth_country                   10                  0.2\n",
       "normal_position                  2                  0.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "missing(df_players_info)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Birth date**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.055049Z",
     "start_time": "2021-07-24T20:03:53.049893Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nateam</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_country_isoCode</th>\n",
       "      <th>birth_country</th>\n",
       "      <th>player_name</th>\n",
       "      <th>player_id</th>\n",
       "      <th>normal_position</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [nateam, birth_date, birth_country_isoCode, birth_country, player_name, player_id, normal_position]\n",
       "Index: []"
      ]
     },
     "execution_count": 234,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_players_info.loc[df_players_info.birth_date.isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-18T18:12:34.759705Z",
     "start_time": "2021-07-18T18:12:34.741537Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.057890Z",
     "start_time": "2021-07-24T20:03:53.055786Z"
    }
   },
   "outputs": [],
   "source": [
    "df_players_info.loc[4788, \"birth_date\"] = \"30 December 2001\"\n",
    "df_players_info.loc[4789, \"birth_date\"] = \"14 January 2003\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.067873Z",
     "start_time": "2021-07-24T20:03:53.058518Z"
    }
   },
   "outputs": [],
   "source": [
    "df_players_info[\"birth_date\"] = pd.to_datetime(df_players_info[\"birth_date\"], format='%d %B %Y')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-18T18:07:18.651000Z",
     "start_time": "2021-07-18T18:07:18.643822Z"
    }
   },
   "source": [
    "**Normal position**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.075152Z",
     "start_time": "2021-07-24T20:03:53.068704Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nateam</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_country_isoCode</th>\n",
       "      <th>birth_country</th>\n",
       "      <th>player_name</th>\n",
       "      <th>player_id</th>\n",
       "      <th>normal_position</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3567</th>\n",
       "      <td>ghana</td>\n",
       "      <td>1974-12-10</td>\n",
       "      <td>gh</td>\n",
       "      <td>ghana</td>\n",
       "      <td>nii lamptey</td>\n",
       "      <td>846</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3930</th>\n",
       "      <td>nigeria</td>\n",
       "      <td>1980-07-21</td>\n",
       "      <td>ng</td>\n",
       "      <td>nigeria</td>\n",
       "      <td>ifeanyi udeze</td>\n",
       "      <td>2367</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       nateam birth_date birth_country_isoCode birth_country    player_name  \\\n",
       "3567    ghana 1974-12-10                    gh         ghana    nii lamptey   \n",
       "3930  nigeria 1980-07-21                    ng       nigeria  ifeanyi udeze   \n",
       "\n",
       "      player_id normal_position  \n",
       "3567        846             NaN  \n",
       "3930       2367             NaN  "
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_players_info.loc[df_players_info.normal_position.isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.077984Z",
     "start_time": "2021-07-24T20:03:53.075915Z"
    }
   },
   "outputs": [],
   "source": [
    "df_players_info.loc[800, \"normal_position\"] = \"F\"\n",
    "df_players_info.loc[1851, \"normal_position\"] = \"D\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Birth country**\n",
    "\n",
    "If a player has missing val for birth country but not for nateam then we can consider that his birth_country is his national team. A player that plays for a national team might be born in this country but it's not sure as the FIFA has a rule saying a player can play for any team he has origin of (nationality of parents or grandparents). I will assume the players are born in the country for which they play for."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-18T19:37:13.784466Z",
     "start_time": "2021-07-18T19:37:13.738038Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.084192Z",
     "start_time": "2021-07-24T20:03:53.078747Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>missing_val_count</th>\n",
       "      <th>missing_val_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>nateam</th>\n",
       "      <td>7</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>birth_country</th>\n",
       "      <td>10</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>normal_position</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 missing_val_count  missing_val_percent\n",
       "nateam                           7                  0.1\n",
       "birth_country                   10                  0.2\n",
       "normal_position                  2                  0.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "missing(df_players_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.090903Z",
     "start_time": "2021-07-24T20:03:53.084838Z"
    }
   },
   "outputs": [],
   "source": [
    "df_players_info['birth_country'] = df_players_info[[\"nateam\", \"birth_country\"]].apply(lambda x: x[\"nateam\"] if pd.isnull(x['birth_country']) else x['birth_country'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.097207Z",
     "start_time": "2021-07-24T20:03:53.091668Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>missing_val_count</th>\n",
       "      <th>missing_val_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>nateam</th>\n",
       "      <td>7</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>birth_country</th>\n",
       "      <td>4</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>normal_position</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 missing_val_count  missing_val_percent\n",
       "nateam                           7                  0.1\n",
       "birth_country                    4                  0.1\n",
       "normal_position                  2                  0.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "missing(df_players_info)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-18T19:30:14.750562Z",
     "start_time": "2021-07-18T19:30:14.729547Z"
    }
   },
   "source": [
    "## Line-up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_position</th>\n",
       "      <th>team_id</th>\n",
       "      <th>info_loan</th>\n",
       "      <th>age</th>\n",
       "      <th>substitute</th>\n",
       "      <th>substit ute</th>\n",
       "      <th>captain</th>\n",
       "      <th>player_number</th>\n",
       "      <th>full_position</th>\n",
       "      <th>match_id</th>\n",
       "      <th>player_name</th>\n",
       "      <th>player_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>d</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29 years 202 days</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>99.0</td>\n",
       "      <td>defender</td>\n",
       "      <td>3405</td>\n",
       "      <td>stefan schnoor</td>\n",
       "      <td>1545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>m</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24 years 123 days</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>99.0</td>\n",
       "      <td>midfielder</td>\n",
       "      <td>3405</td>\n",
       "      <td>rory delap</td>\n",
       "      <td>1391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>m</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29 years 296 days</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>99.0</td>\n",
       "      <td>midfielder</td>\n",
       "      <td>3405</td>\n",
       "      <td>darryl powell</td>\n",
       "      <td>1177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>g</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28 years 277 days</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>99.0</td>\n",
       "      <td>goalkeeper</td>\n",
       "      <td>3405</td>\n",
       "      <td>mart poom</td>\n",
       "      <td>1161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>m</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29 years 43 days</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>99.0</td>\n",
       "      <td>midfielder</td>\n",
       "      <td>3405</td>\n",
       "      <td>craig burley</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346922</th>\n",
       "      <td>g</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31 years 288 days</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>99.0</td>\n",
       "      <td>goalkeeper</td>\n",
       "      <td>4373</td>\n",
       "      <td>fabien barthez</td>\n",
       "      <td>1940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346923</th>\n",
       "      <td>f</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26 years 285 days</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>10.0</td>\n",
       "      <td>forward</td>\n",
       "      <td>4373</td>\n",
       "      <td>ruud van nistelrooy</td>\n",
       "      <td>2117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346924</th>\n",
       "      <td>d</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28 years 53 days</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right full back</td>\n",
       "      <td>4373</td>\n",
       "      <td>gary neville</td>\n",
       "      <td>321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346925</th>\n",
       "      <td>f</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23 years 328 days</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>99.0</td>\n",
       "      <td>forward</td>\n",
       "      <td>4373</td>\n",
       "      <td>diego forlán</td>\n",
       "      <td>2118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346926</th>\n",
       "      <td>d</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37 years 144 days</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>99.0</td>\n",
       "      <td>defender</td>\n",
       "      <td>4373</td>\n",
       "      <td>laurent blanc</td>\n",
       "      <td>2114</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>346927 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       match_position  team_id info_loan                age  substitute  \\\n",
       "0                   d       28       NaN  29 years 202 days         0.0   \n",
       "1                   m       28       NaN  24 years 123 days         0.0   \n",
       "2                   m       28       NaN  29 years 296 days         0.0   \n",
       "3                   g       28       NaN  28 years 277 days         0.0   \n",
       "4                   m       28       NaN   29 years 43 days         0.0   \n",
       "...               ...      ...       ...                ...         ...   \n",
       "346922              g       12       NaN  31 years 288 days         0.0   \n",
       "346923              f       12       NaN  26 years 285 days         0.0   \n",
       "346924              d       12       NaN   28 years 53 days         NaN   \n",
       "346925              f       12       NaN  23 years 328 days         NaN   \n",
       "346926              d       12       NaN  37 years 144 days         NaN   \n",
       "\n",
       "        substit ute  captain  player_number    full_position  match_id  \\\n",
       "0               NaN    False           99.0         defender      3405   \n",
       "1               NaN    False           99.0       midfielder      3405   \n",
       "2               NaN    False           99.0       midfielder      3405   \n",
       "3               NaN    False           99.0       goalkeeper      3405   \n",
       "4               NaN    False           99.0       midfielder      3405   \n",
       "...             ...      ...            ...              ...       ...   \n",
       "346922          NaN    False           99.0       goalkeeper      4373   \n",
       "346923          NaN    False           10.0          forward      4373   \n",
       "346924          1.0    False            2.0  right full back      4373   \n",
       "346925          1.0    False           99.0          forward      4373   \n",
       "346926          1.0    False           99.0         defender      4373   \n",
       "\n",
       "                player_name  player_id  \n",
       "0            stefan schnoor       1545  \n",
       "1                rory delap       1391  \n",
       "2             darryl powell       1177  \n",
       "3                 mart poom       1161  \n",
       "4              craig burley        109  \n",
       "...                     ...        ...  \n",
       "346922       fabien barthez       1940  \n",
       "346923  ruud van nistelrooy       2117  \n",
       "346924         gary neville        321  \n",
       "346925         diego forlán       2118  \n",
       "346926        laurent blanc       2114  \n",
       "\n",
       "[346927 rows x 12 columns]"
      ]
     },
     "execution_count": 242,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_lineup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.172386Z",
     "start_time": "2021-07-24T20:03:53.097856Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>missing_val_count</th>\n",
       "      <th>missing_val_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>info_loan</th>\n",
       "      <td>336442</td>\n",
       "      <td>97.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>substitute</th>\n",
       "      <td>99094</td>\n",
       "      <td>28.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>substit ute</th>\n",
       "      <td>247833</td>\n",
       "      <td>71.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>player_number</th>\n",
       "      <td>672</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>full_position</th>\n",
       "      <td>82</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               missing_val_count  missing_val_percent\n",
       "info_loan                 336442                 97.0\n",
       "substitute                 99094                 28.6\n",
       "substit ute               247833                 71.4\n",
       "player_number                672                  0.2\n",
       "full_position                 82                  0.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "missing(df_lineup.drop([\"match_position\"], axis=1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Match position**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.185175Z",
     "start_time": "2021-07-24T20:03:53.173181Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_position</th>\n",
       "      <th>team_id</th>\n",
       "      <th>info_loan</th>\n",
       "      <th>age</th>\n",
       "      <th>substitute</th>\n",
       "      <th>substit ute</th>\n",
       "      <th>captain</th>\n",
       "      <th>player_number</th>\n",
       "      <th>full_position</th>\n",
       "      <th>match_id</th>\n",
       "      <th>player_name</th>\n",
       "      <th>player_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [match_position, team_id, info_loan, age, substitute, substit ute, captain, player_number, full_position, match_id, player_name, player_id]\n",
       "Index: []"
      ]
     },
     "execution_count": 244,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " df_lineup[(df_lineup[\"match_position\"].isna()) & (df_lineup[\"substitute\"]==0)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, when subsetting the `match_position` column where there are missing values and where substitute is `0` there are no values so missing values on `match_position` means that the player started the game as substitute. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.197173Z",
     "start_time": "2021-07-24T20:03:53.185939Z"
    }
   },
   "outputs": [],
   "source": [
    "# Replacing misssing values by substitute as S\n",
    "df_lineup[\"match_position\"].fillna(\"S\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Player number**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.202837Z",
     "start_time": "2021-07-24T20:03:53.197946Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "99.0    93756\n",
       "1.0     11073\n",
       "10.0    10691\n",
       "5.0     10081\n",
       "8.0      9899\n",
       "Name: player_number, dtype: int64"
      ]
     },
     "execution_count": 246,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_lineup[\"player_number\"].value_counts().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most of the players number are 99 which is an error as the 99th number is rarely given. In a quarter-final tie on 17 December 2019, Liverpool player Tom Hill became the first player in English football history to wear the number 99 shirt in a competitive match. After checking the data and the PL website, 99 correspond to missing values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.243464Z",
     "start_time": "2021-07-24T20:03:53.203617Z"
    }
   },
   "outputs": [],
   "source": [
    "df_lineup[\"player_number\"] = df_lineup[\"player_number\"].apply(lambda x: np.nan if x == 99 else x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.286334Z",
     "start_time": "2021-07-24T20:03:53.244090Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1992/93    11179\n",
       "1994/95    10980\n",
       "1993/94    10860\n",
       "1997/98     9044\n",
       "1995/96     8921\n",
       "1996/97     8907\n",
       "1998/99     8805\n",
       "1999/00     8055\n",
       "2000/01     7360\n",
       "2001/02     5826\n",
       "2002/03     4469\n",
       "2003/04       18\n",
       "2006/07        3\n",
       "2004/05        1\n",
       "Name: season, dtype: int64"
      ]
     },
     "execution_count": 248,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_lineup[df_lineup[\"player_number\"].isna()]\\\n",
    ".merge(df_games[[\"season\", \"match_id\"]], how=\"left\")\\\n",
    "[\"season\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-18T19:53:54.240886Z",
     "start_time": "2021-07-18T19:53:54.224362Z"
    }
   },
   "source": [
    "**Full position**\n",
    "\n",
    "Replacing missing values with the mode of the normal position subset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.578581Z",
     "start_time": "2021-07-24T20:03:53.287098Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 6/6 [00:00<00:00, 26.61it/s]\n"
     ]
    }
   ],
   "source": [
    "for position in tqdm(df_lineup[\"match_position\"].unique()):\n",
    "    sub = df_lineup[(df_lineup[\"full_position\"].isna()) & (df_lineup[\"match_position\"]==position)]\n",
    "    indexes = sub.index\n",
    "    df_lineup.loc[indexes, \"full_position\"] = df_lineup[df_lineup[\"match_position\"]==position][\"full_position\"].mode().squeeze()        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Replacing missing values age**\n",
    "Replacing the whole columns is actually easier and faster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.737570Z",
     "start_time": "2021-07-24T20:03:53.579263Z"
    }
   },
   "outputs": [],
   "source": [
    "sub = df_lineup.merge(df_games[[\"kickoff_dt\", \"match_id\"]], how=\"left\")\\\n",
    "         .merge(df_players_info[[\"player_id\", \"birth_date\"]], how=\"left\")\n",
    "\n",
    "\n",
    "df_lineup[\"age\"] = (sub[\"kickoff_dt\"] - sub[\"birth_date\"]) / np.timedelta64(1, 'Y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-18T21:15:16.781416Z",
     "start_time": "2021-07-18T21:15:16.730368Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-18T21:14:30.378586Z",
     "start_time": "2021-07-18T21:14:30.349627Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Infos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.858885Z",
     "start_time": "2021-07-24T20:03:53.738296Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 346927 entries, 0 to 346926\n",
      "Data columns (total 17 columns):\n",
      " #   Column                 Non-Null Count   Dtype         \n",
      "---  ------                 --------------   -----         \n",
      " 0   match_position         328796 non-null  object        \n",
      " 1   player_number          346255 non-null  float64       \n",
      " 2   captain                346927 non-null  bool          \n",
      " 3   normal_position        346904 non-null  object        \n",
      " 4   full_position          346845 non-null  object        \n",
      " 5   nateam                 346649 non-null  object        \n",
      " 6   birth_date             346927 non-null  datetime64[ns]\n",
      " 7   birth_country_isoCode  346927 non-null  object        \n",
      " 8   birth_country          346286 non-null  object        \n",
      " 9   age                    346927 non-null  object        \n",
      " 10  player_name            346927 non-null  object        \n",
      " 11  player_id              346927 non-null  int64         \n",
      " 12  substitute             247833 non-null  float64       \n",
      " 13  team_id                346927 non-null  int64         \n",
      " 14  substit ute            99094 non-null   float64       \n",
      " 15  match_id               346927 non-null  int64         \n",
      " 16  info_loan              10485 non-null   object        \n",
      "dtypes: bool(1), datetime64[ns](1), float64(3), int64(3), object(9)\n",
      "memory usage: 42.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df_players[\"birth_date\"] = pd.to_datetime(df_players[\"birth_date\"], format='%d %B %Y')\n",
    "\n",
    "df_players.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:53.925020Z",
     "start_time": "2021-07-24T20:03:53.859595Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>missing_val_count</th>\n",
       "      <th>missing_val_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>match_position</th>\n",
       "      <td>18131</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>player_number</th>\n",
       "      <td>672</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>normal_position</th>\n",
       "      <td>23</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>full_position</th>\n",
       "      <td>82</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nateam</th>\n",
       "      <td>278</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>birth_country</th>\n",
       "      <td>641</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>substitute</th>\n",
       "      <td>99094</td>\n",
       "      <td>28.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>substit ute</th>\n",
       "      <td>247833</td>\n",
       "      <td>71.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>info_loan</th>\n",
       "      <td>336442</td>\n",
       "      <td>97.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 missing_val_count  missing_val_percent\n",
       "match_position               18131                  5.2\n",
       "player_number                  672                  0.2\n",
       "normal_position                 23                  0.0\n",
       "full_position                   82                  0.0\n",
       "nateam                         278                  0.1\n",
       "birth_country                  641                  0.2\n",
       "substitute                   99094                 28.6\n",
       "substit ute                 247833                 71.4\n",
       "info_loan                   336442                 97.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "missing(df_players)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here it seems that some columns are correlated for the missing values: \n",
    "* Both positions columns \n",
    "* Age and birth date \n",
    "\n",
    "Info loan has many missing values which is normal as most players are bought from club to clubs and not loaned."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:57.744545Z",
     "start_time": "2021-07-24T20:03:53.925697Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1440x648 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "klib.missingval_plot(df_players, figsize=(20, 9));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-03T21:35:47.605434Z",
     "start_time": "2021-07-03T21:35:47.602680Z"
    }
   },
   "source": [
    "\n",
    "\n",
    "**Normal position & full position**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:57.933971Z",
     "start_time": "2021-07-24T20:03:57.745651Z"
    }
   },
   "outputs": [],
   "source": [
    "names = df_players[df_players[\"normal_position\"].isna()][\"player_name\"].value_counts().index.to_list()\n",
    "\n",
    "\n",
    "\n",
    "for name in names: \n",
    "    indexes = list(df_players[(df_players[\"normal_position\"].isna()) &  \n",
    "                                  (df_players[\"player_name\"]==name)].index)\n",
    "    # Some players have full missing values on all rows so they throw an error \n",
    "    try:\n",
    "        normal_position, full_position = tuple(df_players[(df_players[\"player_name\"]==name) & \\\n",
    "                                                          (df_players[\"normal_position\"].notna())]\\\n",
    "                                                          .reset_index(drop=True)\\\n",
    "                                                          .loc[0, [\"normal_position\", \"full_position\"]])\n",
    "\n",
    "        df_players.loc[indexes, \"normal_position\"] = normal_position\n",
    "        df_players.loc[indexes, \"full_position\"] = full_position\n",
    "        \n",
    "        \n",
    "    except: \n",
    "        match_position = df_players[df_players[\"player_name\"]==name][\"match_position\"].mode()[0]\n",
    "        df_players.loc[indexes, \"normal_position\"] = match_position\n",
    "\n",
    "        full_position = df_players[df_players[\"normal_position\"]==match_position][\"full_position\"]\\\n",
    "                                                                                 .mode()[0]\n",
    "        df_players.loc[indexes, \"full_position\"] = full_position"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I managed to fill some missing values but there are still some players for whom I don't know any of the position they ever played at. I still have the position they played during the game they played so I'm going to assume it's their normal position and then take the mode of the full position based on a subset of their position."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:58.002067Z",
     "start_time": "2021-07-24T20:03:57.934689Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>missing_val_count</th>\n",
       "      <th>missing_val_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>match_position</th>\n",
       "      <td>18131</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>player_number</th>\n",
       "      <td>672</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>full_position</th>\n",
       "      <td>71</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nateam</th>\n",
       "      <td>278</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>birth_country</th>\n",
       "      <td>641</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>substitute</th>\n",
       "      <td>99094</td>\n",
       "      <td>28.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>substit ute</th>\n",
       "      <td>247833</td>\n",
       "      <td>71.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>info_loan</th>\n",
       "      <td>336442</td>\n",
       "      <td>97.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                missing_val_count  missing_val_percent\n",
       "match_position              18131                  5.2\n",
       "player_number                 672                  0.2\n",
       "full_position                  71                  0.0\n",
       "nateam                        278                  0.1\n",
       "birth_country                 641                  0.2\n",
       "substitute                  99094                 28.6\n",
       "substit ute                247833                 71.4\n",
       "info_loan                  336442                 97.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "missing(df_players)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:58.005076Z",
     "start_time": "2021-07-24T20:03:58.002804Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(346927, 17)"
      ]
     },
     "execution_count": 256,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_players.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Infos_loan:** Players on loan from another club are rare, nothing surprising\n",
    "\n",
    "**Birth_country:** I assume this wasn't recorded but we can assume it's the nateam if the player has one. In football a player can play for any team has origin in. The origin being his, parents or grandpareants. I will assume that if the birth_country of a player is missing, the nateam is his birth_country\n",
    "\n",
    "**Nateam:** Maybe the player didn't have one as he was not good enough to be selected. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:58.028572Z",
     "start_time": "2021-07-24T20:03:58.005954Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13, 10, 7)"
      ]
     },
     "execution_count": 257,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_birth_country = list(df_players[df_players[\"birth_country\"].isna()][\"player_name\"].unique())\n",
    "no_nateam = list(df_players[df_players[\"nateam\"].isna()][\"player_name\"].unique())\n",
    "\n",
    "len(set(no_birth_country + no_nateam)), len(no_birth_country), len(no_nateam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:58.039668Z",
     "start_time": "2021-07-24T20:03:58.029895Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "641"
      ]
     },
     "execution_count": 258,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_players[\"birth_country\"].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:58.171592Z",
     "start_time": "2021-07-24T20:03:58.040429Z"
    }
   },
   "outputs": [],
   "source": [
    "birth_country = []\n",
    "for index, cb in enumerate(df_players[\"birth_country\"]):\n",
    "    if pd.isnull(cb):\n",
    "        birth_country.append(df_players.loc[index, \"nateam\"])\n",
    "        \n",
    "    else: \n",
    "        birth_country.append(cb)\n",
    "        \n",
    "df_players[\"birth_country\"] = birth_country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:58.181858Z",
     "start_time": "2021-07-24T20:03:58.172446Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "145"
      ]
     },
     "execution_count": 260,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_players[\"birth_country\"].isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Even though `birth_country` has more missing values than `nateam`, there are more players that don't have national team. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-05T00:50:08.920171Z",
     "start_time": "2021-07-05T00:50:08.903747Z"
    }
   },
   "source": [
    "Awesome, the data is finally clean! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:58.245826Z",
     "start_time": "2021-07-24T20:03:58.182474Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "match_position            18131\n",
       "player_number               672\n",
       "captain                       0\n",
       "normal_position               0\n",
       "full_position                71\n",
       "nateam                      278\n",
       "birth_date                    0\n",
       "birth_country_isoCode         0\n",
       "birth_country               145\n",
       "age                           0\n",
       "player_name                   0\n",
       "player_id                     0\n",
       "substitute                99094\n",
       "team_id                       0\n",
       "substit ute              247833\n",
       "match_id                      0\n",
       "info_loan                336442\n",
       "dtype: int64"
      ]
     },
     "execution_count": 261,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_players.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wrong values \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:03:58.248086Z",
     "start_time": "2021-07-24T20:03:58.246507Z"
    }
   },
   "outputs": [],
   "source": [
    "# # this is too check players who have multiple positions\n",
    "# count = 0\n",
    "# players = []\n",
    "# for x in tqdm(df_players[\"player_name\"].unique()):\n",
    "#     subset = df_players[df_players[\"player_name\"]==x]\n",
    "    \n",
    "#     if len(subset[\"normal_position\"].unique()) > 1:\n",
    "#         players.append(x)\n",
    "#         count += 1\n",
    "\n",
    "# print(f\"{count} player have multiple position\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As said earlier, (did I? check that later) normal position is the position that a player normally plays at and te match position is the one he played during the gale. Some player have a different position overtime which might be due to the evolution of the player and that e found a position where he is better at after some time in his career. For that I will change his normal position to the position he played the most (mode of normal position)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-13T12:14:27.476286Z",
     "start_time": "2021-07-13T12:14:27.444891Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:05:01.519363Z",
     "start_time": "2021-07-24T20:03:58.248641Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4826/4826 [00:54<00:00, 88.85it/s]\n"
     ]
    }
   ],
   "source": [
    "for name in tqdm(df_players[\"player_name\"].unique()):\n",
    "    sub = df_players[df_players[\"player_name\"]==name]\n",
    "    indexes = sub.index\n",
    "    df_players.loc[indexes, \"normal_position\"] = sub[\"normal_position\"].mode().squeeze()\n",
    "#     position = df_players.loc[df_players[\"player_name\"]==name, \"normal_position\"].value_counts().index[0]\n",
    "#     df_players.loc[df_players[\"player_name\"]==name, \"normal_position\"] = position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-12T00:26:18.766816Z",
     "start_time": "2021-07-12T00:26:18.739815Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:05:01.537600Z",
     "start_time": "2021-07-24T20:05:01.520199Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "f    319\n",
       "Name: normal_position, dtype: int64"
      ]
     },
     "execution_count": 264,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_players[df_players[\"player_name\"]==\"raheem sterling\"][\"normal_position\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:05:01.645420Z",
     "start_time": "2021-07-24T20:05:01.538323Z"
    }
   },
   "outputs": [],
   "source": [
    "players_val_count = df_players[\"player_name\"].value_counts().to_dict()\n",
    "df_players[\"player_count\"] = df_players[\"player_name\"].apply(lambda x: players_val_count[x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:05:01.831526Z",
     "start_time": "2021-07-24T20:05:01.646144Z"
    }
   },
   "outputs": [],
   "source": [
    "df_players = df_lineup.merge(df_players_info)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stats\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:05:39.856319Z",
     "start_time": "2021-07-24T20:05:01.832272Z"
    }
   },
   "outputs": [],
   "source": [
    "# # Creating new df to store the stats\n",
    "# sub_df = pd.DataFrame()\n",
    "\n",
    "# for index, element in enumerate(tqdm(df_stats[\"stats\"])):\n",
    "#     element = element.split(\"\\n\") \n",
    "#     for stats in element:\n",
    "#         if any(char.isdigit() for char in stats):\n",
    "#             stats = stats.lower()\n",
    "#             stat_home = stats.split(\" \")[0] # When slit, first element of the list is the home stat\n",
    "#             stat_away = stats.split(\" \")[-1] # When slit, last element of the list is the away stat\n",
    "#             stat = stats.replace(stat_home+\" \", \"\").replace(\" \"+stat_away, \"\").replace(\" \", \"_\")\n",
    "\n",
    "#             # this is bad code (long) change that later\n",
    "#             sub_df.loc[df_stats.loc[index, \"match_id\"], [stat+\"_home\", stat+\"_away\"]] = [stat_home, stat_away]\n",
    "#     sub_df.loc[index, \"match_id\"] = df_stats.loc[index, \"match_id\"]\n",
    "    \n",
    "# # If no red card was given, the stat was not displayed on the page. When added to df --> NAN\n",
    "# df_stats = sub_df.fillna(0)\n",
    "\n",
    "# df_stats.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:10:00.166562Z",
     "start_time": "2021-07-24T20:10:00.084885Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_position</th>\n",
       "      <th>team_id</th>\n",
       "      <th>info_loan</th>\n",
       "      <th>age</th>\n",
       "      <th>substitute</th>\n",
       "      <th>substit ute</th>\n",
       "      <th>captain</th>\n",
       "      <th>player_number</th>\n",
       "      <th>full_position</th>\n",
       "      <th>match_id</th>\n",
       "      <th>player_name</th>\n",
       "      <th>player_id</th>\n",
       "      <th>nateam</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_country_isoCode</th>\n",
       "      <th>birth_country</th>\n",
       "      <th>normal_position</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>46459</th>\n",
       "      <td>g</td>\n",
       "      <td>22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.005770</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>goalkeeper</td>\n",
       "      <td>147</td>\n",
       "      <td>hans segers</td>\n",
       "      <td>582</td>\n",
       "      <td>netherlands</td>\n",
       "      <td>1961-10-30</td>\n",
       "      <td>nl</td>\n",
       "      <td>netherlands</td>\n",
       "      <td>g</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253451</th>\n",
       "      <td>g</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.955078</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>goalkeeper</td>\n",
       "      <td>147</td>\n",
       "      <td>peter schmeichel</td>\n",
       "      <td>307</td>\n",
       "      <td>denmark</td>\n",
       "      <td>1963-11-18</td>\n",
       "      <td>dk</td>\n",
       "      <td>denmark</td>\n",
       "      <td>g</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       match_position  team_id info_loan        age  substitute  substit ute  \\\n",
       "46459               g       22       NaN  31.005770         0.0          NaN   \n",
       "253451              g       12       NaN  28.955078         0.0          NaN   \n",
       "\n",
       "        captain  player_number full_position  match_id       player_name  \\\n",
       "46459     False            NaN    goalkeeper       147       hans segers   \n",
       "253451    False            NaN    goalkeeper       147  peter schmeichel   \n",
       "\n",
       "        player_id       nateam birth_date birth_country_isoCode birth_country  \\\n",
       "46459         582  netherlands 1961-10-30                    nl   netherlands   \n",
       "253451        307      denmark 1963-11-18                    dk       denmark   \n",
       "\n",
       "       normal_position  \n",
       "46459                g  \n",
       "253451               g  "
      ]
     },
     "execution_count": 268,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_players[(df_players.normal_position==\"g\") & (df_players.substitute==0) & (df_players.match_id==147)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:10:01.839483Z",
     "start_time": "2021-07-24T20:10:01.795819Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_position</th>\n",
       "      <th>team_id</th>\n",
       "      <th>info_loan</th>\n",
       "      <th>age</th>\n",
       "      <th>substitute</th>\n",
       "      <th>substit ute</th>\n",
       "      <th>captain</th>\n",
       "      <th>player_number</th>\n",
       "      <th>full_position</th>\n",
       "      <th>match_id</th>\n",
       "      <th>player_name</th>\n",
       "      <th>player_id</th>\n",
       "      <th>nateam</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_country_isoCode</th>\n",
       "      <th>birth_country</th>\n",
       "      <th>normal_position</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>46459</th>\n",
       "      <td>g</td>\n",
       "      <td>22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.005770</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>goalkeeper</td>\n",
       "      <td>147</td>\n",
       "      <td>hans segers</td>\n",
       "      <td>582</td>\n",
       "      <td>netherlands</td>\n",
       "      <td>1961-10-30</td>\n",
       "      <td>nl</td>\n",
       "      <td>netherlands</td>\n",
       "      <td>g</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253451</th>\n",
       "      <td>g</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.955078</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>goalkeeper</td>\n",
       "      <td>147</td>\n",
       "      <td>peter schmeichel</td>\n",
       "      <td>307</td>\n",
       "      <td>denmark</td>\n",
       "      <td>1963-11-18</td>\n",
       "      <td>dk</td>\n",
       "      <td>denmark</td>\n",
       "      <td>g</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       match_position  team_id info_loan        age  substitute  substit ute  \\\n",
       "46459               g       22       NaN  31.005770         0.0          NaN   \n",
       "253451              g       12       NaN  28.955078         0.0          NaN   \n",
       "\n",
       "        captain  player_number full_position  match_id       player_name  \\\n",
       "46459     False            NaN    goalkeeper       147       hans segers   \n",
       "253451    False            NaN    goalkeeper       147  peter schmeichel   \n",
       "\n",
       "        player_id       nateam birth_date birth_country_isoCode birth_country  \\\n",
       "46459         582  netherlands 1961-10-30                    nl   netherlands   \n",
       "253451        307      denmark 1963-11-18                    dk       denmark   \n",
       "\n",
       "       normal_position  \n",
       "46459                g  \n",
       "253451               g  "
      ]
     },
     "execution_count": 269,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_players[(df_players.normal_position==\"g\") & (df_players.substitute==0) & (df_players.match_id==147)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-21T12:46:50.848566Z",
     "start_time": "2021-07-21T12:46:50.732994Z"
    }
   },
   "source": [
    "# Export the dfs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-24T20:10:05.946159Z",
     "start_time": "2021-07-24T20:10:03.085109Z"
    }
   },
   "outputs": [],
   "source": [
    "df_games.to_csv(\"data/clean_games.csv\", index=False)\n",
    "df_events.to_csv(\"data/clean_events.csv\", index=False)\n",
    "df_players.to_csv(\"data/clean_players.csv\", index=False)\n",
    "df_players_info.to_csv(\"data/clean_players_info.csv\", index=False)\n",
    "df_lineup.to_csv(\"data/clean_lineup.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-23T14:47:05.341578Z",
     "start_time": "2021-07-23T14:47:05.302799Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-23T14:47:06.240621Z",
     "start_time": "2021-07-23T14:47:06.226955Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-21T12:46:50.850477Z",
     "start_time": "2021-07-21T12:46:50.850469Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-21T12:46:50.850941Z",
     "start_time": "2021-07-21T12:46:50.850936Z"
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-21T12:46:50.851423Z",
     "start_time": "2021-07-21T12:46:50.851418Z"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.13 ('main_env')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "211px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  },
  "vscode": {
   "interpreter": {
    "hash": "06d12861cad82bdcdde1b56bd9eda52e91f7df29dabbeda8f3d9112222750302"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}